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  1. Color Quantization using K-Means — scikit-learn...

    (need to # be in the range [0-1]) china = np . array ( china ,...random_state = 0 , n_samples = 1_000 ) kmeans = KMeans ( n_clusters...
    scikit-learn.org/stable/auto_examples/cluster/plot_color_quantization.html
    Sun Dec 08 14:35:21 UTC 2024
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  2. Semi-supervised Classification on a Text Datase...

    sum ( 1 for x in y_train if x == - 1 )) clf . fit (...training set: 1706 End of iteration 1, added 1076 new labels. End of...
    scikit-learn.org/stable/auto_examples/semi_supervised/plot_semi_supervised_newsgroups.html
    Tue Dec 24 12:16:11 UTC 2024
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  3. Concentration Prior Type Analysis of Variation ...

    1.1 ) ax2 . tick_params ( axis =...], [ 0.0 , 0.1 ]], [[ 0.5 , 0.0 ], [ 0.0 , 0.1 ]], [[ 0.5 , 0.0...
    scikit-learn.org/stable/auto_examples/mixture/plot_concentration_prior.html
    Tue Dec 24 12:16:12 UTC 2024
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  4. haversine_distances — scikit-learn 1.6.0 docume...

    with a less than 1% error on average. Examples We...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.haversine_distances.html
    Tue Dec 24 12:16:12 UTC 2024
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  5. Compare cross decomposition methods — scikit-le...

    [[ 1. 0.45 -0.04 0. ] [ 0.45 1. -0.1 -0.02] [-0.04 -0.1 1. 0.42]...-0.02 0.42 1. ]] Corr(Y) [[ 1. 0.48 -0.12 -0.05] [ 0.48 1. 0.07 0.04]...
    scikit-learn.org/stable/auto_examples/cross_decomposition/plot_compare_cross_decomposition.html
    Tue Dec 24 12:16:12 UTC 2024
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  6. TargetTags — scikit-learn 1.6.0 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version TargetTags # class sklearn.utils. TargetTags ( requir...
    scikit-learn.org/stable/modules/generated/sklearn.utils.TargetTags.html
    Fri Dec 20 11:14:14 UTC 2024
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  7. Preprocessing — scikit-learn 1.6.0 documentation

    Examples concerning the sklearn.preprocessing module. Compare the effect of different scalers on data with outliers Comparing Target Encoder with Other Encoders Demonstrating the different strategi...
    scikit-learn.org/stable/auto_examples/preprocessing/index.html
    Tue Dec 24 12:16:10 UTC 2024
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  8. Decomposition — scikit-learn 1.6.0 documentation

    Examples concerning the sklearn.decomposition module. Blind source separation using FastICA Comparison of LDA and PCA 2D projection of Iris dataset Faces dataset decompositions Factor Analysis (wit...
    scikit-learn.org/stable/auto_examples/decomposition/index.html
    Tue Dec 24 12:16:11 UTC 2024
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  9. Clustering — scikit-learn 1.6.0 documentation

    Examples concerning the sklearn.cluster module. A demo of K-Means clustering on the handwritten digits data A demo of structured Ward hierarchical clustering on an image of coins A demo of the mean...
    scikit-learn.org/stable/auto_examples/cluster/index.html
    Tue Dec 24 12:16:12 UTC 2024
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  10. DataConversionWarning — scikit-learn 1.6.0 docu...

    Skip to main content Back to top Ctrl + K GitHub Choose version DataConversionWarning # exception sklearn.exceptions....
    scikit-learn.org/stable/modules/generated/sklearn.exceptions.DataConversionWarning.html
    Tue Dec 24 12:16:11 UTC 2024
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