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1082 lines
451 KiB
1082 lines
451 KiB
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"___\n",
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"\n",
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"<a href='http://www.pieriandata.com'><img src='../Pierian_Data_Logo.png'/></a>\n",
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"___\n",
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"<center><em>Copyright by Pierian Data Inc.</em></center>\n",
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"<center><em>For more information, visit us at <a href='http://www.pieriandata.com'>www.pieriandata.com</a></em></center>"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# DBSCAN Hyperparameters\n",
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"\n",
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"\n",
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"Let's explore the hyperparameters for DBSCAN and how they can change results!"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## DBSCAN and Clustering Examples"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"metadata": {},
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"outputs": [],
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"source": [
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"import numpy as np\n",
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"import pandas as pd\n",
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"import matplotlib.pyplot as plt\n",
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"import seaborn as sns"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 34,
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"metadata": {},
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"outputs": [],
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"source": [
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"two_blobs = pd.read_csv('../DATA/cluster_two_blobs.csv')\n",
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"two_blobs_outliers = pd.read_csv('../DATA/cluster_two_blobs_outliers.csv')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 36,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"<AxesSubplot:xlabel='X1', ylabel='X2'>"
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]
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},
|
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"execution_count": 36,
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"metadata": {},
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"output_type": "execute_result"
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},
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{
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"data": {
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"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"sns.scatterplot(data=two_blobs,x='X1',y='X2')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 37,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"<AxesSubplot:xlabel='X1', ylabel='X2'>"
|
|
]
|
|
},
|
|
"execution_count": 37,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"sns.scatterplot(data=two_blobs_outliers,x='X1',y='X2')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Label Discovery"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 75,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"def display_categories(model,data):\n",
|
|
" labels = model.fit_predict(data)\n",
|
|
" sns.scatterplot(data=data,x='X1',y='X2',hue=labels,palette='Set1')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## DBSCAN"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 76,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"from sklearn.cluster import DBSCAN"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 77,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"Help on class DBSCAN in module sklearn.cluster._dbscan:\n",
|
|
"\n",
|
|
"class DBSCAN(sklearn.base.ClusterMixin, sklearn.base.BaseEstimator)\n",
|
|
" | DBSCAN(eps=0.5, *, min_samples=5, metric='euclidean', metric_params=None, algorithm='auto', leaf_size=30, p=None, n_jobs=None)\n",
|
|
" | \n",
|
|
" | Perform DBSCAN clustering from vector array or distance matrix.\n",
|
|
" | \n",
|
|
" | DBSCAN - Density-Based Spatial Clustering of Applications with Noise.\n",
|
|
" | Finds core samples of high density and expands clusters from them.\n",
|
|
" | Good for data which contains clusters of similar density.\n",
|
|
" | \n",
|
|
" | Read more in the :ref:`User Guide <dbscan>`.\n",
|
|
" | \n",
|
|
" | Parameters\n",
|
|
" | ----------\n",
|
|
" | eps : float, default=0.5\n",
|
|
" | The maximum distance between two samples for one to be considered\n",
|
|
" | as in the neighborhood of the other. This is not a maximum bound\n",
|
|
" | on the distances of points within a cluster. This is the most\n",
|
|
" | important DBSCAN parameter to choose appropriately for your data set\n",
|
|
" | and distance function.\n",
|
|
" | \n",
|
|
" | min_samples : int, default=5\n",
|
|
" | The number of samples (or total weight) in a neighborhood for a point\n",
|
|
" | to be considered as a core point. This includes the point itself.\n",
|
|
" | \n",
|
|
" | metric : string, or callable, default='euclidean'\n",
|
|
" | The metric to use when calculating distance between instances in a\n",
|
|
" | feature array. If metric is a string or callable, it must be one of\n",
|
|
" | the options allowed by :func:`sklearn.metrics.pairwise_distances` for\n",
|
|
" | its metric parameter.\n",
|
|
" | If metric is \"precomputed\", X is assumed to be a distance matrix and\n",
|
|
" | must be square. X may be a :term:`Glossary <sparse graph>`, in which\n",
|
|
" | case only \"nonzero\" elements may be considered neighbors for DBSCAN.\n",
|
|
" | \n",
|
|
" | .. versionadded:: 0.17\n",
|
|
" | metric *precomputed* to accept precomputed sparse matrix.\n",
|
|
" | \n",
|
|
" | metric_params : dict, default=None\n",
|
|
" | Additional keyword arguments for the metric function.\n",
|
|
" | \n",
|
|
" | .. versionadded:: 0.19\n",
|
|
" | \n",
|
|
" | algorithm : {'auto', 'ball_tree', 'kd_tree', 'brute'}, default='auto'\n",
|
|
" | The algorithm to be used by the NearestNeighbors module\n",
|
|
" | to compute pointwise distances and find nearest neighbors.\n",
|
|
" | See NearestNeighbors module documentation for details.\n",
|
|
" | \n",
|
|
" | leaf_size : int, default=30\n",
|
|
" | Leaf size passed to BallTree or cKDTree. This can affect the speed\n",
|
|
" | of the construction and query, as well as the memory required\n",
|
|
" | to store the tree. The optimal value depends\n",
|
|
" | on the nature of the problem.\n",
|
|
" | \n",
|
|
" | p : float, default=None\n",
|
|
" | The power of the Minkowski metric to be used to calculate distance\n",
|
|
" | between points.\n",
|
|
" | \n",
|
|
" | n_jobs : int, default=None\n",
|
|
" | The number of parallel jobs to run.\n",
|
|
" | ``None`` means 1 unless in a :obj:`joblib.parallel_backend` context.\n",
|
|
" | ``-1`` means using all processors. See :term:`Glossary <n_jobs>`\n",
|
|
" | for more details.\n",
|
|
" | \n",
|
|
" | Attributes\n",
|
|
" | ----------\n",
|
|
" | core_sample_indices_ : ndarray of shape (n_core_samples,)\n",
|
|
" | Indices of core samples.\n",
|
|
" | \n",
|
|
" | components_ : ndarray of shape (n_core_samples, n_features)\n",
|
|
" | Copy of each core sample found by training.\n",
|
|
" | \n",
|
|
" | labels_ : ndarray of shape (n_samples)\n",
|
|
" | Cluster labels for each point in the dataset given to fit().\n",
|
|
" | Noisy samples are given the label -1.\n",
|
|
" | \n",
|
|
" | Examples\n",
|
|
" | --------\n",
|
|
" | >>> from sklearn.cluster import DBSCAN\n",
|
|
" | >>> import numpy as np\n",
|
|
" | >>> X = np.array([[1, 2], [2, 2], [2, 3],\n",
|
|
" | ... [8, 7], [8, 8], [25, 80]])\n",
|
|
" | >>> clustering = DBSCAN(eps=3, min_samples=2).fit(X)\n",
|
|
" | >>> clustering.labels_\n",
|
|
" | array([ 0, 0, 0, 1, 1, -1])\n",
|
|
" | >>> clustering\n",
|
|
" | DBSCAN(eps=3, min_samples=2)\n",
|
|
" | \n",
|
|
" | See also\n",
|
|
" | --------\n",
|
|
" | OPTICS\n",
|
|
" | A similar clustering at multiple values of eps. Our implementation\n",
|
|
" | is optimized for memory usage.\n",
|
|
" | \n",
|
|
" | Notes\n",
|
|
" | -----\n",
|
|
" | For an example, see :ref:`examples/cluster/plot_dbscan.py\n",
|
|
" | <sphx_glr_auto_examples_cluster_plot_dbscan.py>`.\n",
|
|
" | \n",
|
|
" | This implementation bulk-computes all neighborhood queries, which increases\n",
|
|
" | the memory complexity to O(n.d) where d is the average number of neighbors,\n",
|
|
" | while original DBSCAN had memory complexity O(n). It may attract a higher\n",
|
|
" | memory complexity when querying these nearest neighborhoods, depending\n",
|
|
" | on the ``algorithm``.\n",
|
|
" | \n",
|
|
" | One way to avoid the query complexity is to pre-compute sparse\n",
|
|
" | neighborhoods in chunks using\n",
|
|
" | :func:`NearestNeighbors.radius_neighbors_graph\n",
|
|
" | <sklearn.neighbors.NearestNeighbors.radius_neighbors_graph>` with\n",
|
|
" | ``mode='distance'``, then using ``metric='precomputed'`` here.\n",
|
|
" | \n",
|
|
" | Another way to reduce memory and computation time is to remove\n",
|
|
" | (near-)duplicate points and use ``sample_weight`` instead.\n",
|
|
" | \n",
|
|
" | :class:`cluster.OPTICS` provides a similar clustering with lower memory\n",
|
|
" | usage.\n",
|
|
" | \n",
|
|
" | References\n",
|
|
" | ----------\n",
|
|
" | Ester, M., H. P. Kriegel, J. Sander, and X. Xu, \"A Density-Based\n",
|
|
" | Algorithm for Discovering Clusters in Large Spatial Databases with Noise\".\n",
|
|
" | In: Proceedings of the 2nd International Conference on Knowledge Discovery\n",
|
|
" | and Data Mining, Portland, OR, AAAI Press, pp. 226-231. 1996\n",
|
|
" | \n",
|
|
" | Schubert, E., Sander, J., Ester, M., Kriegel, H. P., & Xu, X. (2017).\n",
|
|
" | DBSCAN revisited, revisited: why and how you should (still) use DBSCAN.\n",
|
|
" | ACM Transactions on Database Systems (TODS), 42(3), 19.\n",
|
|
" | \n",
|
|
" | Method resolution order:\n",
|
|
" | DBSCAN\n",
|
|
" | sklearn.base.ClusterMixin\n",
|
|
" | sklearn.base.BaseEstimator\n",
|
|
" | builtins.object\n",
|
|
" | \n",
|
|
" | Methods defined here:\n",
|
|
" | \n",
|
|
" | __init__(self, eps=0.5, *, min_samples=5, metric='euclidean', metric_params=None, algorithm='auto', leaf_size=30, p=None, n_jobs=None)\n",
|
|
" | Initialize self. See help(type(self)) for accurate signature.\n",
|
|
" | \n",
|
|
" | fit(self, X, y=None, sample_weight=None)\n",
|
|
" | Perform DBSCAN clustering from features, or distance matrix.\n",
|
|
" | \n",
|
|
" | Parameters\n",
|
|
" | ----------\n",
|
|
" | X : {array-like, sparse matrix} of shape (n_samples, n_features), or (n_samples, n_samples)\n",
|
|
" | Training instances to cluster, or distances between instances if\n",
|
|
" | ``metric='precomputed'``. If a sparse matrix is provided, it will\n",
|
|
" | be converted into a sparse ``csr_matrix``.\n",
|
|
" | \n",
|
|
" | sample_weight : array-like of shape (n_samples,), default=None\n",
|
|
" | Weight of each sample, such that a sample with a weight of at least\n",
|
|
" | ``min_samples`` is by itself a core sample; a sample with a\n",
|
|
" | negative weight may inhibit its eps-neighbor from being core.\n",
|
|
" | Note that weights are absolute, and default to 1.\n",
|
|
" | \n",
|
|
" | y : Ignored\n",
|
|
" | Not used, present here for API consistency by convention.\n",
|
|
" | \n",
|
|
" | Returns\n",
|
|
" | -------\n",
|
|
" | self\n",
|
|
" | \n",
|
|
" | fit_predict(self, X, y=None, sample_weight=None)\n",
|
|
" | Perform DBSCAN clustering from features or distance matrix,\n",
|
|
" | and return cluster labels.\n",
|
|
" | \n",
|
|
" | Parameters\n",
|
|
" | ----------\n",
|
|
" | X : {array-like, sparse matrix} of shape (n_samples, n_features), or (n_samples, n_samples)\n",
|
|
" | Training instances to cluster, or distances between instances if\n",
|
|
" | ``metric='precomputed'``. If a sparse matrix is provided, it will\n",
|
|
" | be converted into a sparse ``csr_matrix``.\n",
|
|
" | \n",
|
|
" | sample_weight : array-like of shape (n_samples,), default=None\n",
|
|
" | Weight of each sample, such that a sample with a weight of at least\n",
|
|
" | ``min_samples`` is by itself a core sample; a sample with a\n",
|
|
" | negative weight may inhibit its eps-neighbor from being core.\n",
|
|
" | Note that weights are absolute, and default to 1.\n",
|
|
" | \n",
|
|
" | y : Ignored\n",
|
|
" | Not used, present here for API consistency by convention.\n",
|
|
" | \n",
|
|
" | Returns\n",
|
|
" | -------\n",
|
|
" | labels : ndarray of shape (n_samples,)\n",
|
|
" | Cluster labels. Noisy samples are given the label -1.\n",
|
|
" | \n",
|
|
" | ----------------------------------------------------------------------\n",
|
|
" | Data descriptors inherited from sklearn.base.ClusterMixin:\n",
|
|
" | \n",
|
|
" | __dict__\n",
|
|
" | dictionary for instance variables (if defined)\n",
|
|
" | \n",
|
|
" | __weakref__\n",
|
|
" | list of weak references to the object (if defined)\n",
|
|
" | \n",
|
|
" | ----------------------------------------------------------------------\n",
|
|
" | Methods inherited from sklearn.base.BaseEstimator:\n",
|
|
" | \n",
|
|
" | __getstate__(self)\n",
|
|
" | \n",
|
|
" | __repr__(self, N_CHAR_MAX=700)\n",
|
|
" | Return repr(self).\n",
|
|
" | \n",
|
|
" | __setstate__(self, state)\n",
|
|
" | \n",
|
|
" | get_params(self, deep=True)\n",
|
|
" | Get parameters for this estimator.\n",
|
|
" | \n",
|
|
" | Parameters\n",
|
|
" | ----------\n",
|
|
" | deep : bool, default=True\n",
|
|
" | If True, will return the parameters for this estimator and\n",
|
|
" | contained subobjects that are estimators.\n",
|
|
" | \n",
|
|
" | Returns\n",
|
|
" | -------\n",
|
|
" | params : mapping of string to any\n",
|
|
" | Parameter names mapped to their values.\n",
|
|
" | \n",
|
|
" | set_params(self, **params)\n",
|
|
" | Set the parameters of this estimator.\n",
|
|
" | \n",
|
|
" | The method works on simple estimators as well as on nested objects\n",
|
|
" | (such as pipelines). The latter have parameters of the form\n",
|
|
" | ``<component>__<parameter>`` so that it's possible to update each\n",
|
|
" | component of a nested object.\n",
|
|
" | \n",
|
|
" | Parameters\n",
|
|
" | ----------\n",
|
|
" | **params : dict\n",
|
|
" | Estimator parameters.\n",
|
|
" | \n",
|
|
" | Returns\n",
|
|
" | -------\n",
|
|
" | self : object\n",
|
|
" | Estimator instance.\n",
|
|
"\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"help(DBSCAN)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 78,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"dbscan = DBSCAN()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 79,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"display_categories(dbscan,two_blobs)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 80,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"display_categories(dbscan,two_blobs_outliers)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"# Epsilon\n",
|
|
"\n",
|
|
" eps : float, default=0.5\n",
|
|
" | The maximum distance between two samples for one to be considered\n",
|
|
" | as in the neighborhood of the other. This is not a maximum bound\n",
|
|
" | on the distances of points within a cluster. This is the most\n",
|
|
" | important DBSCAN parameter to choose appropriately for your data set\n",
|
|
" | and distance function."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 81,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"# Tiny Epsilon --> Tiny Max Distance --> Everything is an outlier (class=-1)\n",
|
|
"dbscan = DBSCAN(eps=0.001)\n",
|
|
"display_categories(dbscan,two_blobs_outliers)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 82,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"# Huge Epsilon --> Huge Max Distance --> Everything is in the same cluster (class=0)\n",
|
|
"dbscan = DBSCAN(eps=10)\n",
|
|
"display_categories(dbscan,two_blobs_outliers)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 166,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"# How to find a good epsilon?\n",
|
|
"dbscan = DBSCAN(eps=1)\n",
|
|
"display_categories(dbscan,two_blobs_outliers)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 51,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"array([ 0, 1, 0, ..., -1, -1, -1], dtype=int64)"
|
|
]
|
|
},
|
|
"execution_count": 51,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"dbscan.labels_"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 52,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"array([False, False, False, ..., True, True, True])"
|
|
]
|
|
},
|
|
"execution_count": 52,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"dbscan.labels_ == -1"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 54,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"3"
|
|
]
|
|
},
|
|
"execution_count": 54,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"np.sum(dbscan.labels_ == -1)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 57,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"0.29910269192422734"
|
|
]
|
|
},
|
|
"execution_count": 57,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"100 * np.sum(dbscan.labels_ == -1) / len(dbscan.labels_)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Charting reasonable Epsilon values"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 159,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# bend the knee! https://raghavan.usc.edu/papers/kneedle-simplex11.pdf"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 170,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# np.arange(start=0.01,stop=10,step=0.01)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 189,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"outlier_percent = []\n",
|
|
"number_of_outliers = []\n",
|
|
"\n",
|
|
"for eps in np.linspace(0.001,10,100):\n",
|
|
" \n",
|
|
" # Create Model\n",
|
|
" dbscan = DBSCAN(eps=eps)\n",
|
|
" dbscan.fit(two_blobs_outliers)\n",
|
|
" \n",
|
|
" # Log Number of Outliers\n",
|
|
" number_of_outliers.append(np.sum(dbscan.labels_ == -1))\n",
|
|
" \n",
|
|
" # Log percentage of points that are outliers\n",
|
|
" perc_outliers = 100 * np.sum(dbscan.labels_ == -1) / len(dbscan.labels_)\n",
|
|
" \n",
|
|
" outlier_percent.append(perc_outliers)\n",
|
|
" "
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 190,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"Text(0.5, 0, 'Epsilon Value')"
|
|
]
|
|
},
|
|
"execution_count": 190,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": 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SOBHYH/hURDwgaRHw7XzDKkb9klSXj8zMgGxnNL82Ik6rPUgTwzM5xlSY+opml4/MzIBsI4UTRmh75wTH0RKDK5qdFMzMoPlxnMcBbwUWSbqy4amZwF/yDqwIgxviuXxkZgbNy0e/BtaQnJ3wrw3tG4E78gyqKNX05LUel4/MzIDmG+I9CDxIMsk8JZVKolySy0dmZqksK5rfKOl+SeslbZC0UdKGIoIrQrUsl4/MzFJZrj46BzgiIu7JO5hWqJZLXqdgZpbKcvXRo3kkBEllSbdJuip9vEjSzZJWSLpEUsdE9zkSJwUzs0FZkkJ3+kv6uLSU9EZJb5yAvt8HNCabzwBfiIjdgSeAkyagj82qlkVvn8tHZmaQLSnMAp4C/gE4Iv05fDydStoFOIzkuE/Sc6APBC5LX7IUOHo8fWRVKZXo9USzmRmQ7eS1E3Po94vAh0jWPABsD6xLN94DWAXMH+mNkk4GTgZYuHDhuAPpqJQ80Wxmlmq2eO1DEXGOpPOATX5rNm59sSUkHQ48FhHLJb16S98fEUtItvCmq6tr3L/Nq2XR5zkFMzOg+UihVu/vnuA+DwCOlPR6YBpJeepcYI6kSjpa2AVYPcH9jqhS8kSzmVlNs8VrP05vlwJImpE+/ut4OoyIs4Cz0s98NfDPEfE2Sd8H3gR8j2S/pSvG009W1UqJHpePzMyAbIvXXiTpNuAu4G5JyyW9MIdYPgx8UNIKkjmGC3LoYxPVkstHZmY1WRavLQE+GBE3QP2v+68Brxhv5xHxC+AX6f2VwL7j/cwt5XUKZmaDslySum0tIUD9F/m2uUVUsKqvPjIzq8syUlgp6WMMnrZ2PLAyv5CKVS3JIwUzs1SWkcK7gHnA5cAPSLbSfleeQRXJ5SMzs0HN1ilMA94L7A7cCZweEb1FBVaUSln0uXxkZgY0HyksBbpIEsKhwGcLiahgHeUSPR4pmJkBzecU9oiIFwNIugD4bTEhFataLnmkYGaWajZSqJeKGvYkmnIqZU80m5nVNBsp7NlwwpqAzvSxgIiIWblHV4Cqy0dmZnXNtrkoFxlIq1Q90WxmVpflktQpzZekmpkNclIol+gbCCI8WjAzGzUpSNqmyEBapVoWgLe6MDOj+UjhPwEkfbvJaya9ajn5J3AJycys+dVHHZLeCrxC0huHPxkRl+cXVnEqaVLwZLOZWfOk8F7gbcAc4IhhzwXJXkiTXkdaPvJlqWZmzS9J/SXwS0ndEVHIgTet4PKRmdmgLFtnf1vSacCr0sc3Av8+VTbH23ab5J/gr89O2UXbZmaZZUkKXwGq6S3A24HzgXfnFVSR5kyvArDuqSmR48zMxiVLUtgnIvZseHy9pN/lFVDRZncmSWH9004KZmZZFq/1S9qt9kDSc4H+/EIq1pzODsBJwcwMso0UzgBukLSSZDO85wAn5hpVgWojhXVP9bQ4EjOz1ttsUoiIZZIWA89Lm+6LiGfzDas4M6dVkGCDRwpmZplGCqRJ4I6cY2mJUknMmlZ1+cjMDG+IByQlpHVOCmZmTgqQJAWPFMzMMiQFJY6X9PH08UJJ++YfWnHmTK96nYKZGdlGCl8B9geOSx9vBL6cW0QtMKuz6olmMzOyTTS/PCL2lnQbQEQ8Iakj57gKNcflIzMzINtIoVdSmWRnVCTNA6bU7nG1iWafvmZm7S5LUvgS8EPgbyR9Cvgl8H9zjapgszur9A8ET/ZMmYXaZmZjkmXx2kWSlgMHkaxoPjoi7hlrh5IWAN8CdiQZfSyJiHMlzQUuAXYF/ggcExFPjLWfLVHbFG/9073M2CbT0g0zsykpy9VHc4HHgIuB7wKPSqqOo88+4PSI2APYDzhF0h7AmcCyiFgMLEsfF8JbXZiZJbKUj24F1gJ/AO5P7/9R0q2SXralHUbEmoi4Nb2/EbgHmA8cBSxNX7YUOHpLP3usZnmnVDMzIFtSuA54fUTsEBHbA4cCVwH/yOAZC2MiaVdgL+BmYMeIWJM+9QhJeWmk95wsqVtS99q1a8fTfV1tp1Rflmpm7S5LUtgvIq6pPYiIa4H9I+I3wDZj7VjSDOAHwPsjYkPjc5FcBjTipUARsSQiuiKia968eWPtfojZPmjHzAzIlhTWSPqwpOekPx8imVcoM8ZLU9M5iR8AF0XE5Wnzo5J2Sp/fiWQeoxBzXD4yMwOyJYW3ArsAP0p/FqZtZeCYLe1QkoALgHsi4vMNT10JnJDePwG4Yks/e6ymd5SplORN8cys7WW5JPVx4NRRnl4xhj4PIDnn+U5Jt6dtHwE+DVwq6STgQcaQcMZKkjfFMzMjQ1JIVzB/CHghMK3WHhEHjqXDiPglyXqHkRw0ls+cCLOnOymYmWUpH10E3AssAj5BsrDslhxjaonZnVXWe6LZzNpclqSwfURcAPRGxI0R8S5gTKOErZnLR2ZmGTfES2/XSDpM0l7A3BxjagnvlGpmlm3r7E9Kmg2cDpwHzALen2dQrTC7s+ptLsys7WVJCk9ExHpgPfAaAEkH5BpVC8ye3sHGZ/voHwjKpdHmwc3MprYs5aPzMrZNarM7q0TAxmdcQjKz9jXqSEHS/sArgHmSPtjw1CyShWtTyuyGVc1zpk+pg+XMzDJrVj7qAGakr5nZ0L4BeFOeQbWCt7owM2uSFCLiRuBGSRdGxIMFxtQS3hTPzCzbRPM2kpaQnIhWf/1YVzRvrTxSMDPLlhS+D/w78HVgyh5iPNtJwcwsU1Loi4jzc4+kxXz6mplZtktSfyzpHyXtJGlu7Sf3yAo2rVpmWrXkpGBmbS3LSKF2xsEZDW0BPHfiw2ktb4pnZu0uy3kKi4oIZGswu7PKuqe91YWZta/Nlo8kTZf00fQKJCQtlnR4/qEVb05nh8tHZtbWsswpfBPoIVndDLAa+GRuEbXQrM6q1ymYWVvLkhR2i4hzSLfQjoinGP3ktEltzvQqGzxSMLM2liUp9EjqJJlcRtJuwLO5RtUiPmjHzNpdlquPzgZ+BiyQdBFwAPDOPINqldmdVZ7s6ae3f4BqOUu+NDObWrJcfXSdpFuB/UjKRu+LiMdzj6wF5kwfXMC2w4xtWhyNmVnxslx99AaSVc0/iYirgD5JR+ceWQvUtrrwZLOZtassNZKz05PXAIiIdSQlpSlnt3kzAPjNyj+3OBIzs9bIkhRGek2WuYhJ54U7z+L5fzuTS255qNWhmJm1RJak0C3p85J2S38+DyzPO7BWkMSx+yzgztXruevh9Zt/g5nZFJMlKZxKsnjtEuB7wDPAKXkG1UpH7zWfjkqJSz1aMLM21LQMJKkMXBURrykonpabM72DQ174t/zwttWc9foXMK065Y6jNjMbVdORQkT0AwOSZhcUz1bh2H0WsOGZPn72+0daHYqZWaGyTBj/FbhT0nXAk7XGiDgtt6habL/nbs/CudO55JaHOHqv+a0Ox8ysMFmSwuXpT9solcRb9lnAZ6+5j5/f/SgH77Fjq0MyMytElhXNS9O9jxZGxH0FxLRVOG7fhVxx+2re/a1ujnrpznz88D3Y3quczWyKy7Ki+QjgdpL9j5D0UklX5hGMpEMk3SdphaQz8+gjq7nbdvDjU1/J+w9ezNV3ruGgz9/IWZffyY9/9zBrN07J/QDNzFBENH+BtBw4EPhFROyVtv0+Il40oYEkVzr9AXgtsAq4BTguIu4e7T1dXV3R3d09kWGM6P5HN/K5a+/j1yv+zMZn+4AkaSzYrpNd5k5nh207mNVZZda0KtXylNxVfMool8TMaVVmd1aZMa1CacT/XGLGNhVmdVaYNa1KeeQXWQYSdJRLSP433JpIWh4RXSM9l2VOoTci1g/7jzowIZENtS+wIiJWAkj6HnAUMGpSKMriHWfy1bd30dc/wF0Pb+DmB/7MA48/xaonnuLuhzfwxFM9bHi6l4Hm+dWsLVXLYnZnlZnTqlScYCfMaQct5og9d57wz82SFO6S9FagLGkxcBrw6wmPBOYDjSvGVgEvH/4iSScDJwMsXLgwhzBGVymX2HPBHPZcMGeT5wYGgid7+ujrd2bYmvUNBBuf6WX907389dk+RhooD0Tw5LP9bHimlw1P99K/mdG0jS4CNj7TV/+3HPC/5YSpbeA50bIkhVOBfyE5WOe7wDW08DjOiFgCLIGkfNSqOIYrpWUJ2/rNm+kLBsxGM2pSkDQNeC+wO3AnsH9E9OUYy2pgQcPjXdI2MzMrSLOrj5YCXSQJ4VDgcznHcguwWNIiSR3AsUAuVzmZmdnImpWP9oiIFwNIugD4bZ6BRESfpH8iKU+VgW9ExF159mlmZkM1Swr148fSX9i5BxMRVwNX596RmZmNqFlS2FPShvS+gM70sYCIiFm5R2dmZoUaNSlEhPeMNjNrM1kO2TEzszbhpGBmZnWb3ftoayZpLfDgGN++A/D4BIYzGfg7twd/5/Ywnu/8nIiYN9ITkzopjIek7tE2hJqq/J3bg79ze8jrO7t8ZGZmdU4KZmZW185JYUmrA2gBf+f24O/cHnL5zm07p2BmZptq55GCmZkN46RgZmZ1bZkUJB0i6T5JKySd2ep48iZpgaQbJN0t6S5J72t1TEWQVJZ0m6SrWh1LESTNkXSZpHsl3SNp/1bHlDdJH0j/N/17SRen58BMKZK+IekxSb9vaJsr6TpJ96e3201Uf22XFCSVgS+TnBGxB3CcpD1aG1Xu+oDTI2IPYD/glDb4zgDvA+5pdRAFOhf4WUQ8H9iTKf7dJc0nOR64KyJeRLLl/rGtjSoXFwKHDGs7E1gWEYuBZenjCdF2SQHYF1gRESsjogf4HnBUi2PKVUSsiYhb0/sbSX5ZzG9tVPmStAtwGPD1VsdSBEmzgVcBFwBERE9ErGtpUMWokOzgXAGmAw+3OJ4JFxE3AX8Z1nwUyUFopLdHT1R/7ZgU5gMPNTxexRT/BdlI0q7AXsDNLQ4lb18EPgQMtDiOoiwC1gLfTEtmX5e0bauDylNErCY5EfJPwBpgfURc29qoCrNjRKxJ7z8C7DhRH9yOSaFtSZoB/AB4f0Rs2NzrJytJhwOPRcTyVsdSoAqwN3B+ROwFPMkElhS2Rmkd/SiShLgzsK2k41sbVfEiWVcwYWsL2jEprAYWNDzeJW2b0iRVSRLCRRFxeavjydkBwJGS/khSHjxQ0ndaG1LuVgGrIqI2AryMJElMZQcDD0TE2ojoBS4HXtHimIryqKSdANLbxybqg9sxKdwCLJa0SFIHycTUlS2OKVdKzlK9ALgnIj7f6njyFhFnRcQuEbEryX/f6yNiSv8FGRGPAA9Jel7adBBwdwtDKsKfgP0kTU//N34QU3xyvcGVwAnp/ROAKybqg5sdxzklpedN/xNwDcnVCt+IiLtaHFbeDgDeDtwp6fa07SPpmdg2dZwKXJT+sbMSOLHF8eQqIm6WdBlwK8kVdrcxBbe7kHQx8GpgB0mrgLOBTwOXSjqJ5PiAYyasP29zYWZmNe1YPjIzs1E4KZiZWZ2TgpmZ1TkpmJlZnZOCmZnVOSnYlCSpX9LtDT9bvLpXUpekL6X33ynp3yYgrhskvW5Y2/slnd/kPb+Q1FaH0lvrtN06BWsbT0fES8fzARHRDXRPTDh1F5MsqLumoe1Ykn2azFrOIwVrK5L+KOkcSXdK+q2k3dP2N6d78v9O0k1p26tHOotB0q6Srpd0h6Rlkham7RdK+pKkX0taKelNI4RwGXBYusCstkHhzsB/SDpfUnd6PsAnRon/rw333yTpwvT+PEk/kHRL+nPAeP6drH05KdhU1TmsfPSWhufWR8SLgX8j2U0V4OPA6yJiT+DIzXz2ecDSiHgJcBHwpYbndgJeCRxOsup0iIj4C/BbkvM8IBklXJpuavYvEdEFvAT4e0kvyf51ORf4QkTsA/x32mTLcJt4Lh/ZVNWsfHRxw+0X0vu/Ai6UdCnJxmrN7A+8Mb3/beCchud+FBEDwN2SRtvOuFZCuiK9PSltP0bSyST/v9yJ5BCoOzYTS83BwB7JFkAAzJI0IyL+2uQ9ZptwUrB2FMPvR8R7Jb2c5GCe5ZJeNsbPfrbhvkZ5zRXAFyTtDUyPiOWSFgH/DOwTEU+kZaGRjpZsjL3x+RKwX0Q8M8a4zQCXj6w9vaXh9j8BJO0WETdHxMdJDqtZMNqbgV8zeOzj24D/2JLO07/ebwC+weCoZRbJGQjr0xHGoaO8/VFJL5BUAt7Q0H4tyYZ4pN/npVsSk1mNRwo2VXU27AgLydnFtctSt5N0B8lf9celbZ+VtJjkr/tlwO+Avx/ls08lOeHsDJIEMpbdSC8GfkiaXCLid5JuA+4lORnwV6O870zgqrTfbmBG2n4a8OX0e1WAm4D3jiEua3PeJdXaSnrwTldEPN7qWMy2Ri4fmZlZnUcKZmZW55GCmZnVOSmYmVmdk4KZmdU5KZiZWZ2TgpmZ1f0XiudJFx1H9ZYAAAAASUVORK5CYII=\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"sns.lineplot(x=np.linspace(0.001,10,100),y=outlier_percent)\n",
|
|
"plt.ylabel(\"Percentage of Points Classified as Outliers\")\n",
|
|
"plt.xlabel(\"Epsilon Value\")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 192,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"(0.0, 1.0)"
|
|
]
|
|
},
|
|
"execution_count": 192,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
},
|
|
{
|
|
"data": {
|
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"image/png": 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5Ut3WzKyiZBmC/nJJ49O3qr4pabGkt/X1hhHxIvCspEPSolOBJ4H5wMVp2cXAnen6fOCD6f1PADaWor+kS3NDOujjCn+8aGbWkyxjc/1xRGwC3gZMAj4AfLGf9/048L30S/pjgX9Ir3m6pKXAaXn3uAdYDiwjGdLlo/289z6ZNHYkb5gyhgUr1pXytmZmFaXXsbkApb9nkbxV9YQkFTqhNxHxCNC0l12n7uXYIJlTpWxaGidx12PP09EZVFf1649uZjYkZamZLJL03yTJpGvK3mHVGz2vMcfmbe387sVN5Q7FzGxQypJMLiHpIG+OiK1ALTDQnfKDWnPXZFl+RdjMbK+yJJMTgacjYoOki0jmMtlY3LAGl+kTRzF94ijPC29m1oMsyeTrwNb0A8MrgGeAW4oa1SDU0phjwYr1JF04ZmaWL0syaU87wc8FvhYRNwDjihvW4NPSmOOVLTtY8cqr5Q7FzGzQyZJMNkv6LHARcLekKpJ+k2Glxf0mZmY9ypJM3gtsBy5JPzicAVxT1KgGoTmTxzB57AgnEzOzvcgyB/yLwLV526sZhn0mkmhuyLHAnfBmZq+TZTiVEyQtlLRF0g5JHZKG1dtcXZobcqxpe43nN7xW7lDMzAaVLM1cXwMuBJYCo4CPAP9azKAGq65+E78ibGa2pyzJhIhYBlRHREdEfBs4o7hhDU6HTRvPuJE1nhfezKybLGNzbZU0AnhE0j+RTEqVKQkNNdVV4viGenfCm5l1kyUpfACoBj5GMpHVTODdxQxqMGtpzLFs7RbWbdle7lDMzAaNLG9zrUpXXwP+vrjhDH7zdvWbtHHGkfuXORozs8Gh0BzwSygwdW5EHF2UiAa5o6ZPZGRNFQtXrncyMTNLFaqZ9Gee9yFrRE0Vx82a6H4TM7M8hfpMaoEZEbEqfyH5Aj5Lx/2Q1dKQ44nnN7J5285yh2JmNigUSiZfAfY2G9SmdN+w1dI4ic6Axas3lDsUM7NBoVAy2S8ilnQvTMsaihZRBZg7eyI1VfK88GZmqULJZGKBfaMGOI6KMnpEDUdMn8DCFW3lDsXMbFAolExaJf1J90JJHwEWFS+kyjCvMccjz25g286OcodiZlZ2hTrSPwncIen97E4eTcAI4I+KHNeg19yQ48YHl/PosxuYN2dSucMxMyurHpNJRLwEvFHSycCRafHdEXF/SSIb5Job6oFk0EcnEzMb7rJ8Af8A8EAJYqkoE0eP4ND9x/HQivV8rNzBmJmV2bAcsHGgNDfkWLyqjfaOznKHYmZWVk4m/dDSmOPVHR08+cLePscxMxs+ssy0OEZSVbp+sKRzJNUWP7TBr2uyLA+tYmbDXZaayYNAnaTpwH+TDEn/nWIGVSn2G1/H7EmjnUzMbNjLkkwUEVuBdwH/GhHnA0cUN6zK0dKQY+HK9XR29jjAspnZkJcpmUg6EXg/cHdaVl28kCpLc2OOtq07eeblLeUOxcysbLIkk8uBzwJ3RMQTkuYwAK8KS6qW9LCku9LtRkkPSVom6fvpVMFIGpluL0v3N/T33gOpa7IszwtvZsNZlmSyX0ScExFfAoiI5cAvB+DelwNP5W1/CbguIg4E2oBL0vJLgLa0/Lr0uEFjVm40U8eNdL+JmQ1rWZLJZzOWZSZpBnA28M10W8ApwO3pITcD70zXz023Sfefmh4/KEiipTHHghXriXC/iZkNT4Wm7T0TOAuYLun6vF3jgfZ+3vcrwF8B49LtScCGiOi67hpgero+HXgWICLaJW1Mj3+lW7yXApcCzJo1q5/h7Zt5jTnueuwF1rS9xszc6JLe28xsMChUM3keaAW2kQz02LXMB97e1xtKegewNiIGdOThiLgxIpoiomnKlCkDeeleNft7EzMb5goN9Pgo8KikWyNiIOenPQk4R9JZQB1JTeerwERJNWntZAbwXHr8c8BMYI2kGmACMKhmpTp46jgmjKplwYr1vPv4GeUOx8ys5LL0mbRI+pmk30taLmmFpOV9vWFEfDYiZkREA3ABcH9EvJ/kDbHz0sMuBu5M1+en26T7749B1jlRVSWaG+pZsNI1EzMbnnodNRj4FvApkiauYs4E9RngPyT9H+Dh9L5d9/+upGXAepIENOi0NOb4n6fWsnbzNqaOqyt3OGZmJZUlmWyMiP8qxs0j4ufAz9P15UDLXo7ZBpxfjPsPpJbGZE6ThSvaOPvoaWWOxsystLI0cz0g6RpJJ0qa27UUPbIKc8QB4xlVW82CFYOqO8fMrCSy1Ezmpb9NeWVB8l2IpWqrqzh+dj0LVraVOxQzs5LLMtPiyaUIZChobsjxlft+z8bXdjJhlEfpN7Pho9BHixdFxP+T9Om97Y+Ia4sXVmVqacwRAYtWreeUQ/crdzhmZiVTqM9kTPo7rofFujlu1kRqq+VBH81s2Cn00eK/p79/X7pwKltdbTVHz5joL+HNbNjJMm3vDEl3SFqbLv+ZDtRoe9HSmGPJmo28tqOYn+SYmQ0uWV4N/jbJV+gHpMtP0jLbi5bGHO2dwcOr/VaXmQ0fWZLJlIj4dkS0p8t3gNKOpFhBjp9dj4SHVjGzYSVLMlkn6aJ0ZsRqSRcxyAZaHEzG19Vy+LTx7jcxs2ElSzL5Y+A9wIvACySDLX64mEFVuuaGHItXt7GjvbPcoZiZlUTBZCLpnSTjYt0QEVMiYmpEvDMiVpckugo1rzHHtp2dPP78xnKHYmZWEj0mE0n/SjJa8CTgC5I+V7KoKpwnyzKz4aZQzeTNwCkR8Vngreyek916MXnsSOZMGcNCJxMzGyYKJZMdEdEBEBFbAZUmpKFhXmOOBSvX09E5qObxMjMrikLJ5FBJj6XLkrztJZIeK1WAlaqlMcfmbe385hm/+GZmQ1+hUYMPK1kUQ9Dph+/P7ElL+cvbH+WeT/wB9WNGlDskM7Oi6bFmEhGrCi2lDLISjR1Zww3vm8u6LTu44oeP0unmLjMbwrJ8Z2J9dOT0CVx19mHc/7u1fPNXy8sdjplZ0TiZFNkHT5zNGUfszz/99GkWe7wuMxuiCn1ncl/6+6XShTP0SOJL5x3NtIl1fPzWh9mwdUe5QzIzG3CFaibTJL0ROEfScZLm5i+lCnAomDCqlq9dOJe1m7fxFz98jAj3n5jZ0FLoba6/BT4HzAC6T9EbwCnFCmooOmbmRK488zC+cNeT3PTrlVzypsZyh2RmNmAKzbR4O3C7pM9FxBdKGNOQ9ccnNfDb5ev44n89RdPseo6ZObHcIZmZDYheO+Aj4guSzpH0z+nyjlIENhRJ4przjmbquDouu3UxG1/bWe6QzMwGRJZpe/8RuBx4Ml0ul/QPxQ5sqJo4egT/8r7jeHHjNj5zu/tPzGxoyPJq8NnA6RFxU0TcBJwBuHbSD3Nn1fNXZxzCT594kVt+4+8/zazyZf3OZGLe+oQixDHsfORNczjl0Kn837uf4vHnPO+JmVW2LMnkH4GHJX1H0s3AIuD/Fjesoa+qSnz5/GOYNHYEl926mM3b3H9iZpUrSwf8bcAJwI+A/wROjIjvFzuw4aB+zAj+5cLjWNP2Glf+aIn7T8ysYmVq5oqIFyJifrq82J8bSpop6QFJT0p6QtLlaXlO0s8kLU1/69NySbpe0rJ0CPwh9cFkU0OOK952MHc/9gLfe8izIZtZZSrH2FztwBURcThJjecySYcDVwL3RcRBwH3pNsCZwEHpcinw9dKHXFx/9uY38JaDp/D5u57kCc8bb2YVqOTJJK3lLE7XNwNPAdOBc4Gb08NuZvc0wecCt0Tit8BESdNKG3VxVVWJa99zDPWja/nYrQ+zZXt7uUMyM9snBZOJpGpJvyvWzSU1AMcBDwH7RcQL6a4Xgf3S9enAs3mnrUnLhpRJY0dy/QXHsWrdq1x1h/tPzKyyFEwm6RzwT0uaNdA3ljSWpEP/kxGxqdt9g2T8r3253qWSWiW1vvzyywMYaenMmzOJT512MHc+8jw/aH229xPMzAaJLM1c9cATku6TNL9r6c9NJdWSJJLvRcSP0uKXupqv0t+1aflzwMy802ekZXuIiBsjoikimqZMmdKf8MrqoycfyJsOnMzV85/g6Rc3lzscM7NMsiSTz5F88f554Mt5S59IEvAt4KmIyB+NeD5wcbp+MXBnXvkH07e6TgA25jWHDTnVVeK69x7L2JG1XHbrYrbucP+JmQ1+Wb4z+QWwEqhN1xcCi/txz5OADwCnSHokXc4CvgicLmkpcFq6DXAPsBxYBnwD+Gg/7l0RpowbyVcvOJZnXt7C5378RLnDMTPrVaH5TACQ9Cckr+TmgDeQdH7/G3BqX24YEb8C1MPu110z7T+5rC/3qmQnHTiZj59yENfft5QT3zCJ846fUe6QzMx6lKWZ6zKS2sQmgIhYCkwtZlCWuPzUgzhhTo7P/fhxlr7k/hMzG7yyJJPtEbFr4nJJNezjm1bWN9VV4qsXHMfoEdVcdutiXtvRUe6QzMz2Kksy+YWkvwZGSTod+CHwk+KGZV32G1/Hde89lqVrt/B3891/YmaDU5ZkciXwMrAE+FOSDvG/KWZQtqc3HzyFj771DXy/9Vl+/PDr3oo2Myu7XjvgI6IzHXr+IZLmrafDn2eX3KdOO5iFK9r46zuWcNSMCbxhythyh2RmtkuWaXvPBp4Brge+BiyTdGaxA7M91VRX8dULj2VkTRWXfW8x23a6/8TMBo8szVxfBk6OiLdGxFuAk4HrihuW7c20CaO49r3H8rsXN/P5u54sdzhmZrtkSSabI2JZ3vZywO+plsnJh0zlT98yh1sfWs1PHn2+3OGYmQEF+kwkvStdbZV0D/ADkj6T80m+grcy+Yu3HULryjY++6MlHDV9Ag2Tx5Q7JDMb5grVTP4wXeqAl4C3AG8lebNrVNEjsx7VVldx/YXHUV0lLrvV/SdmVn491kwi4sOlDMT2zfSJo/jy+cfwkVta+Yd7nuLz5x5Z7pDMbBjLMjZXI/BxoCH/+Ig4p3hhWRanHb4fH3lTI9/81QpOmDOJs44aUhNQmlkF6TWZAD8mGTL+J0BnUaOxffZXZxzKwlVtfOb2xzjygAnMmjS63CGZ2TCU5W2ubRFxfUQ8EBG/6FqKHpllMqKmiq9deBwSfOy2xWxvd/+JmZVelmTyVUlXSzpR0tyupeiRWWYzc6O55vxjeGzNRr74X78rdzhmNgxlaeY6inQyK3Y3c0W6bYPE24/Ynw+9sYFv/3olJ8yZxNuP2L/cIZnZMJIlmZwPzMkfht4Gp8+edSiLVrXxlz98lMOnjWdmzv0nZlYaWZq5HgcmFjkOGwAja6q54X1ziYCP3/YwO9r9voSZlUaWZDIR+J2keyXN71qKHJf10axJo/nSeUfzyLMbuOZe95+YWWlkaea6uuhR2IA666hpfOCE2Xzjl8n3J6cetl+5QzKzIS7LfCZ+DbgCXXX2YSxa1cYVP3yUez7xBxww0SPgmFnxZJnPZLOkTemyTVKHpE2lCM76rq62mhveP5ed7Z1ccnMrtz60mt+/tJnOTs9rZmYDL0vNZFzXuiQB5wInFDMoGxiNk8dw7XuP5ao7Huev71gCwIRRtTTNruf4hnqaG3IcNX0CdbXVZY7UzCqd+jIDr6SHI+K4IsQzIJqamqK1tbXcYQwaEcGqdVtZuHI9rSvbaF21nmdefhWAEdVVHDVjAk0N9TTPznH87Hrqx4woc8RmVg6SFkVEU5/O7S2Z5M1rAkmzWBPwlog4sS83LAUnk96t27KdRavaaF3VRuvK9Sx5biM7O5K/CwdOHUtzQz1Ns3M0N+SYmRtFUik1s6Gs2Mnk23mb7cBK4BsRsbYvNywFJ5N9t21nB48+u2FXcmld1cbmbe0ATBk3cldyaWqo5/Bp46mpzvJWuZlVkv4kkyx9Jp7XZBioq61m3pxJzJszCYDOzmDp2i1p09h6Fq5s454lLwIwekQ1x82ayPGzczQ31HPcrHrGjszylrmZDVU91kwk/W2B8yIivlCckPrPNZPieGHja0mfS1pzeeqFTXQGVAkOmzae5oak5tI0O8f+E+rKHa6Z7aOiNHNJumIvxWOAS4BJETG2LzcsBSeT0ti8bScPr96wK7k8vHoDr6VTCM+oH7VHcjlo6liqqtzvYjaYFbXPJL3BOOBykkTyA+DL7jOx7nZ2dPLk85t29bssXNnGK1u2AzC+roZD9h/H+LpaxtXVMO51vzW79o3NKx87osZJyKxEitZnIikHfBp4P3AzMDci2vpyIxv6aqurOGbmRI6ZOZFL3tS465XkruSy4pVXeXHTNpaubWfztp1s3tZOey8fUUowdkTN6xLPuLzEMz6/fOSeSWp8XS1j62qodkIyK6oek4mka4B3ATcCR0XElpJFtfd4zgC+ClQD34yIL5YzHuudJBomj6Fh8hjOO37G6/ZHBNt2drJ52042bdudYDbvsZ7s27J9d9krW3aw4pVXdx27o6P30ZHHjKjeVeMZPaKa2uoqaqtFbXUVI6qrku2apGzXdnUVtTXJdk3V7vVd+6rFiJpu27uu0+1ae7l2dZWoEn7t2oaEQjWTK4DtwN8AV+X9hRdJB/z4Ise2i6Rq4AbgdGANsFDS/Ih4slQx2MCTxKgR1YwaUc3Ufvxt2razo1sCylvfvmdi2rytnW07O9jZEezo6GTL9nZ2dnSysz3Y2dHJjo7OZLsj2NmebO/o6KQP3/ZmViXSxCKqq0S1RFWV8srYo2zX+q4yXl+WXitZ3/P6e+xXV0KDKgmlyU3kbZOWdR0DVFWpWzmI5Fp0XZPd137d+ek23e5jlavHZBIRg+lDghZgWUQsB5D0HyTDujiZGHW11dTVVjNl3Mii3aOjMy/ZtKfJJj/5tMeu9fbu+7rt39nRyY72Tjo6oSOCzs7Y/Zu/HkFHJ3vuj+SYzvS3o5Nd67vLgvbOTra3Bx3Bruvu2r/HPZMaYmdAkP5GUhYk1961HexR1pkeE6/bLtr/DDaIVcrHAdOBZ/O21wDz8g+QdClwKcCsWbNKF5kNC9VVorqq2uOYZbQrQeUlqkgTVWe3REVaZuWX+1Lfz62UZNKriLiRpH+HpqYm/800KyMpaV5z49XwMZiasgp5DpiZtz0jLTMzs0GgUpLJQuAgSY2SRgAXAJ462MxskKiIZq6IaJf0MeBekleDb4qIJ8oclpmZpSoimQBExD3APeWOw8zMXq9SmrnMzGwQczIxM7N+czIxM7N+czIxM7N+yzQEfaWRtBl4utxxDBKTgVfKHcQg4Wexm5/Fbn4Wux0SEeP6cmLFvM21j57u65j8Q42kVj+LhJ/Fbn4Wu/lZ7CapzxNBuZnLzMz6zcnEzMz6bagmkxvLHcAg4mexm5/Fbn4Wu/lZ7NbnZzEkO+DNzKy0hmrNxMzMSsjJxMzM+q2ik4mkMyQ9LWmZpCv3sn+kpO+n+x+S1FCGMEsiw7P4tKQnJT0m6T5Js8sRZyn09izyjnu3pJA0ZF8LzfIsJL0n/bvxhKRbSx1jqWT4b2SWpAckPZz+d3JWOeIsNkk3SVor6fEe9kvS9elzekzS3EwXTuZvrryFZCj6Z4A5wAjgUeDwbsd8FPi3dP0C4PvljruMz+JkYHS6/ufD+Vmkx40DHgR+CzSVO+4y/r04CHgYqE+3p5Y77jI+ixuBP0/XDwdWljvuIj2LNwNzgcd72H8W8F8k02SeADyU5bqVXDNpAZZFxPKI2AH8B3But2POBW5O128HTpU0FOcR7fVZRMQDEbE13fwtyWyVQ1GWvxcAXwC+BGwrZXAlluVZ/AlwQ0S0AUTE2hLHWCpZnkUA49P1CcDzJYyvZCLiQWB9gUPOBW6JxG+BiZKm9XbdSk4m04Fn87bXpGV7PSYi2oGNwKSSRFdaWZ5FvktI/p/HUNTrs0ir7TMj4u5SBlYGWf5eHAwcLOnXkn4r6YySRVdaWZ7F3wEXSVpDMnfSx0sT2qCzr/+eAEN3OBXrgaSLgCbgLeWOpRwkVQHXAh8qcyiDRQ1JU9dbSWqrD0o6KiI2lDOoMrkQ+E5EfFnSicB3JR0ZEZ3lDqwSVHLN5DlgZt72jLRsr8dIqiGpuq4rSXSlleVZIOk04CrgnIjYXqLYSq23ZzEOOBL4uaSVJG3C84doJ3yWvxdrgPkRsTMiVgC/J0kuQ02WZ3EJ8AOAiPgNUEcyCORwk+nfk+4qOZksBA6S1ChpBEkH+/xux8wHLk7XzwPuj7SHaYjp9VlIOg74d5JEMlTbxaGXZxERGyNickQ0REQDSf/RORHR5wHuBrEs/438mKRWgqTJJM1ey0sYY6lkeRargVMBJB1GkkxeLmmUg8N84IPpW10nABsj4oXeTqrYZq6IaJf0MeBekjc1boqIJyR9HmiNiPnAt0iqqstIOpwuKF/ExZPxWVwDjAV+mL6DsDoizilb0EWS8VkMCxmfxb3A2yQ9CXQAfxkRQ672nvFZXAF8Q9KnSDrjPzQU/8+npNtI/g/E5LR/6GqgFiAi/o2kv+gsYBmwFfhwpusOwWdlZmYlVsnNXGZmNkg4mZiZWb85mZiZWb85mZiZWb85mZiZWb85mdiwIqlD0iN5S4+jChe4RpOk69P1D0n62gDE9YCkt3cr+6Skrxc45+dD9GNLq0AV+52JWR+9FhHH9ucC6QeOA/2R420k30Hdm1d2AfBXA3wfs6JwzcQMkLRS0j9JWiJpgaQD0/LzJT0u6VFJD6Zlb5V0116u0SDp/rw5Y2al5d9J54f4X0nLJZ23lxBuB85Ov85Gydw7BwC/lPR1Sa3pfCN/30P8W/LWz5P0nXR9iqT/lLQwXU7qz3My64mTiQ03o7o1c703b9/GiDgK+BrwlbTsb4G3R8QxQG8jBvwLcHNEHA18D7g+b9804E3AO4Avdj8xItYDC4Az06ILgB+kX2BfFRFNwNHAWyQdnf2Py1eB6yKiGXg38M19ONcsMzdz2XBTqJnrtrzf69L1XwPfkfQD4Ee9XPtE4F3p+neBf8rb9+N09NknJe1X4P4XAHemv5ek5e+RdCnJf6/TSCZueqyXWLqcBhyeN43PeEljI2JLgXPM9pmTidlu0X09Iv5M0jzgbGCRpOP7eO38UZp7mqDtTuC6dL6V0RGxSFIj8BdAc0S0pc1Xdb3Enr+/CjghIobyJGA2CLiZy2y39+b9/gZA0hsi4qGI+FuSEWRn9nQy8L/sHkz0/cAv9+XmaW3hAeAmdteSxgOvAhvTGs2ZPZz+kqTD0vla/iiv/L/Jm+RJ0rH7EpNZVq6Z2HAzStIjeds/jYiu14PrJT1GUou4MC27RtJBJLWJ+0jmDu9pYrGPA9+W9JckiSfTaKvd3AbcQZqUIuJRSQ8DvyOZ/e7XPZx3JXBXet9WkhGiAT4B3JD+uWpI5r3/sz7EZVaQRw02I3mbC2iKiFfKHYtZJXIzl5mZ9ZtrJmZm1m+umZiZWb85mZiZWb85mZiZWb85mZiZWb85mZiZWb/9f4kSnEu8HyKJAAAAAElFTkSuQmCC\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"sns.lineplot(x=np.linspace(0.001,10,100),y=number_of_outliers)\n",
|
|
"plt.ylabel(\"Number of Points Classified as Outliers\")\n",
|
|
"plt.xlabel(\"Epsilon Value\")\n",
|
|
"plt.xlim(0,1)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"### Do we want to think in terms of percentage targeting instead?\n",
|
|
"\n",
|
|
"If so, you could \"target\" a percentage, like choose a range producing 1%-5% as outliers."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 193,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"<matplotlib.collections.LineCollection at 0x19a401a0af0>"
|
|
]
|
|
},
|
|
"execution_count": 193,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"sns.lineplot(x=np.linspace(0.001,10,100),y=outlier_percent)\n",
|
|
"plt.ylabel(\"Percentage of Points Classified as Outliers\")\n",
|
|
"plt.xlabel(\"Epsilon Value\")\n",
|
|
"plt.ylim(0,5)\n",
|
|
"plt.xlim(0,2)\n",
|
|
"plt.hlines(y=1,xmin=0,xmax=2,colors='red',ls='--')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 194,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
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"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"# How to find a good epsilon?\n",
|
|
"dbscan = DBSCAN(eps=0.4)\n",
|
|
"display_categories(dbscan,two_blobs_outliers)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"### Do we want to think in terms of number of outliers targeting instead?\n",
|
|
"\n",
|
|
"If so, you could \"target\" a number of outliers, such as 3 points as outliers."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 203,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"<matplotlib.collections.LineCollection at 0x19a40070670>"
|
|
]
|
|
},
|
|
"execution_count": 203,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"sns.lineplot(x=np.linspace(0.001,10,100),y=number_of_outliers)\n",
|
|
"plt.ylabel(\"Number of Points Classified as Outliers\")\n",
|
|
"plt.xlabel(\"Epsilon Value\")\n",
|
|
"plt.ylim(0,10)\n",
|
|
"plt.xlim(0,6)\n",
|
|
"plt.hlines(y=3,xmin=0,xmax=10,colors='red',ls='--')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 204,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
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"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"# How to find a good epsilon?\n",
|
|
"dbscan = DBSCAN(eps=0.75)\n",
|
|
"display_categories(dbscan,two_blobs_outliers)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Minimum Samples\n",
|
|
"\n",
|
|
" | min_samples : int, default=5\n",
|
|
" | The number of samples (or total weight) in a neighborhood for a point\n",
|
|
" | to be considered as a core point. This includes the point itself.\n",
|
|
" \n",
|
|
"\n",
|
|
"How to choose minimum number of points?\n",
|
|
"\n",
|
|
"https://stats.stackexchange.com/questions/88872/a-routine-to-choose-eps-and-minpts-for-dbscan"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 218,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"outlier_percent = []\n",
|
|
"\n",
|
|
"for n in np.arange(1,100):\n",
|
|
" \n",
|
|
" # Create Model\n",
|
|
" dbscan = DBSCAN(min_samples=n)\n",
|
|
" dbscan.fit(two_blobs_outliers)\n",
|
|
" \n",
|
|
" # Log percentage of points that are outliers\n",
|
|
" perc_outliers = 100 * np.sum(dbscan.labels_ == -1) / len(dbscan.labels_)\n",
|
|
" \n",
|
|
" outlier_percent.append(perc_outliers)\n",
|
|
" "
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 226,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"Text(0.5, 0, 'Minimum Number of Samples')"
|
|
]
|
|
},
|
|
"execution_count": 226,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
},
|
|
{
|
|
"data": {
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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"sns.lineplot(x=np.arange(1,100),y=outlier_percent)\n",
|
|
"plt.ylabel(\"Percentage of Points Classified as Outliers\")\n",
|
|
"plt.xlabel(\"Minimum Number of Samples\")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 229,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
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"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"num_dim = two_blobs_outliers.shape[1]\n",
|
|
"\n",
|
|
"dbscan = DBSCAN(min_samples=2*num_dim)\n",
|
|
"display_categories(dbscan,two_blobs_outliers)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 230,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"num_dim = two_blobs_outliers.shape[1]\n",
|
|
"\n",
|
|
"dbscan = DBSCAN(eps=0.75,min_samples=2*num_dim)\n",
|
|
"display_categories(dbscan,two_blobs_outliers)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 231,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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\n",
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"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"dbscan = DBSCAN(min_samples=1)\n",
|
|
"display_categories(dbscan,two_blobs_outliers)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 232,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"dbscan = DBSCAN(eps=0.75,min_samples=1)\n",
|
|
"display_categories(dbscan,two_blobs_outliers)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"----"
|
|
]
|
|
}
|
|
],
|
|
"metadata": {
|
|
"anaconda-cloud": {},
|
|
"kernelspec": {
|
|
"display_name": "Python 3",
|
|
"language": "python",
|
|
"name": "python3"
|
|
},
|
|
"language_info": {
|
|
"codemirror_mode": {
|
|
"name": "ipython",
|
|
"version": 3
|
|
},
|
|
"file_extension": ".py",
|
|
"mimetype": "text/x-python",
|
|
"name": "python",
|
|
"nbconvert_exporter": "python",
|
|
"pygments_lexer": "ipython3",
|
|
"version": "3.8.5"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 1
|
|
}
|