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  1. A demo of the mean-shift clustering algorithm —...

    2 , n_samples = 500 ) ms = MeanShift...
    scikit-learn.org/stable/auto_examples/cluster/plot_mean_shift.html
    Mon Nov 03 14:20:03 UTC 2025
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  2. Pipeline ANOVA SVM — scikit-learn 1.7.2 documen...

    n_classes = 2 , n_clusters_per_class = 2 , random_state =...
    scikit-learn.org/stable/auto_examples/feature_selection/plot_feature_selection_pipeline.html
    Mon Nov 03 14:20:05 UTC 2025
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  3. Decision Tree Regression with AdaBoost — scikit...

    linewidth = 2 ) plt . plot ( X , y_2 , color = colors [ 2 ], label...regr_2 . fit ( X , y ) y_1 = regr_1 . predict ( X ) y_2 = regr_2...
    scikit-learn.org/stable/auto_examples/ensemble/plot_adaboost_regression.html
    Mon Nov 03 14:20:05 UTC 2025
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  4. Gaussian Mixture Models — scikit-learn 1.7.2 do...

    Examples concerning the sklearn.mixture module. Concentration Prior Type Analysis of Variation Bayesian Gaussian Mixture Density Estimation for a Gaussian mixture GMM Initialization Methods GMM cov...
    scikit-learn.org/stable/auto_examples/mixture/index.html
    Mon Nov 03 14:20:05 UTC 2025
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  5. sklearn.decomposition — scikit-learn 1.7.2 docu...

    Matrix decomposition algorithms. These include PCA, NMF, ICA, and more. Most of the algorithms of this module can be regarded as dimensionality reduction techniques. User guide. See the Decomposing...
    scikit-learn.org/stable/api/sklearn.decomposition.html
    Mon Nov 03 14:20:04 UTC 2025
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  6. sklearn.cluster — scikit-learn 1.7.2 documentation

    Popular unsupervised clustering algorithms. User guide. See the Clustering and Biclustering sections for further details.
    scikit-learn.org/stable/api/sklearn.cluster.html
    Mon Nov 03 14:20:03 UTC 2025
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  7. shrunk_covariance — scikit-learn 1.7.2 document...

    Skip to main content Back to top Ctrl + K GitHub Choose version shrunk_covariance # sklearn.covariance. shrunk_covari...
    scikit-learn.org/stable/modules/generated/sklearn.covariance.shrunk_covariance.html
    Mon Nov 03 14:20:05 UTC 2025
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  8. sklearn.calibration — scikit-learn 1.7.2 docume...

    Methods for calibrating predicted probabilities. User guide. See the Probability calibration section for further details. Visualization:
    scikit-learn.org/stable/api/sklearn.calibration.html
    Mon Nov 03 14:20:04 UTC 2025
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  9. fetch_20newsgroups — scikit-learn 1.7.2 documen...

    Gallery examples: Topic extraction with Non-negative Matrix Factorization and Latent Dirichlet Allocation Biclustering documents with the Spectral Co-clustering algorithm Column Transformer with He...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_20newsgroups.html
    Mon Nov 03 14:20:03 UTC 2025
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  10. Early stopping of Stochastic Gradient Descent —...

    2 ), } # Load the dataset X , y...subplots ( nrows = 1 , ncols = 2 , sharey = True , figsize = (...
    scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_early_stopping.html
    Mon Nov 03 14:20:03 UTC 2025
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