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  1. 2. Unsupervised learning — scikit-learn 1.8.0 d...

    1. Gaussian mixture models 2.1.1. Gaussian Mixture 2.1.2....(t-SNE) 2.2.10. Tips on practical use 2.3. Clustering 2.3.1. Overview...
    scikit-learn.org/stable/unsupervised_learning.html
    Mon Mar 23 20:39:21 UTC 2026
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  2. 2.8. Density Estimation — scikit-learn 1.8.0 do...

    ([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2...array([-0.41075698, -0.41075698, -0.41076071, -0.41075698, -0.41075698,...
    scikit-learn.org/stable/modules/density.html
    Mon Mar 23 20:39:20 UTC 2026
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  3. plot_classifier_comparison.zip

    - 0.5, X[:, 0].max() + 0.5 y_min, y_max = X[:, 1].min() - 0.5,...random_state=42), GaussianProcessClass(1.0 * RBF(1.0), random_state=42), Dec...
    scikit-learn.org/stable/_downloads/ce35bcc69acbd491cf7ac77fa17889d5/plot_classifier_comparison.zip
    Mon Mar 23 20:39:23 UTC 2026
      10.8K bytes
      1 views
     
  4. plot_classifier_comparison.py

    - 0.5, X[:, 0].max() + 0.5 y_min, y_max = X[:, 1].min() - 0.5,...random_state=42), GaussianProcessClass(1.0 * RBF(1.0), random_state=42), Dec...
    scikit-learn.org/stable/_downloads/2da0534ab0e0c8241033bcc2d912e419/plot_classifier_comparison.py
    Mon Mar 23 20:39:21 UTC 2026
      1.8K bytes
     
  5. QuadraticDiscriminantAnalysis — scikit-learn 1....

    ([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2...reg_param = 0.0 , store_covariance = False , tol = 0.0001 , covariance_estimator...
    scikit-learn.org/stable/modules/generated/sklearn.discriminant_analysis.QuadraticDiscriminantAnal...
    Mon Mar 23 20:39:23 UTC 2026
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  6. GaussianProcessClassifier — scikit-learn 1.8.0 ...

    array([[0.83548752, 0.03228706, 0.13222543], [0.79064206, 0.06525643,...is passed, the kernel “1.0 * RBF(1.0)” is used as default. Note...
    scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.GaussianProcessClassifier.html
    Mon Mar 23 20:39:20 UTC 2026
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  7. HistGradientBoostingRegressor — scikit-learn 1....

    l2_regularization = 0.0 , max_features = 1.0 , max_bins = 255 ,...validation_fraction = 0.1 , n_iter_no_change = 10 , tol = 1e-07 , verbose...
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingRegressor.html
    Mon Mar 23 20:39:21 UTC 2026
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  8. HDBSCAN — scikit-learn 1.8.0 documentation

    tolist () [-1, 0, 1, 2, 3, 4, 5, 6, 7] dbscan_clustering...cluster_selection_epsilon = 0.0 , max_cluster_size = None , metric...
    scikit-learn.org/stable/modules/generated/sklearn.cluster.HDBSCAN.html
    Mon Mar 23 20:39:21 UTC 2026
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  9. EllipticEnvelope — scikit-learn 1.8.0 documenta...

    [0.2736, 0.3330]]) >>> cov . location_ array([0.0769 , 0.0397])...array([ 1, -1]) >>> cov . covariance_ array([[0.8102, 0.2736],...
    scikit-learn.org/stable/modules/generated/sklearn.covariance.EllipticEnvelope.html
    Mon Mar 23 20:39:21 UTC 2026
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  10. MeanShift — scikit-learn 1.8.0 documentation

    array([1, 1, 1, 0, 0, 0]) >>> clustering . predict ([[ 0 , 0 ], [...= np . array ([[ 1 , 1 ], [ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7 ],...
    scikit-learn.org/stable/modules/generated/sklearn.cluster.MeanShift.html
    Mon Mar 23 20:39:23 UTC 2026
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