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  1. Hierarchical clustering: structured vs unstruct...

    Example builds a swiss roll dataset and runs hierarchical clustering on their position. For more information, see Hierarchical clustering. In a first step, the hierarchical clustering is performed ...
    scikit-learn.org/stable/auto_examples/cluster/plot_ward_structured_vs_unstructured.html
    Fri Aug 22 18:00:29 UTC 2025
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  2. MNIST classification using multinomial logistic...

    Here we fit a multinomial logistic regression with L1 penalty on a subset of the MNIST digits classification task. We use the SAGA algorithm for this purpose: this a solver that is fast when the nu...
    scikit-learn.org/stable/auto_examples/linear_model/plot_sparse_logistic_regression_mnist.html
    Fri Aug 22 18:00:29 UTC 2025
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  3. Comparison of the K-Means and MiniBatchKMeans c...

    We want to compare the performance of the MiniBatchKMeans and KMeans: the MiniBatchKMeans is faster, but gives slightly different results (see Mini Batch K-Means). We will cluster a set of data, fi...
    scikit-learn.org/stable/auto_examples/cluster/plot_mini_batch_kmeans.html
    Fri Aug 22 18:00:34 UTC 2025
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  4. 1.3. Kernel ridge regression — scikit-learn 1.7...

    Kernel ridge regression (KRR)[M2012] combines Ridge regression and classification(linear least squares with L_2-norm regularization) with the kernel trick. It thus learns a linear function in the s...
    scikit-learn.org/stable/modules/kernel_ridge.html
    Fri Aug 22 18:00:29 UTC 2025
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  5. 7.4. Imputation of missing values — scikit-lear...

    For various reasons, many real world datasets contain missing values, often encoded as blanks, NaNs or other placeholders. Such datasets however are incompatible with scikit-learn estimators which ...
    scikit-learn.org/stable/modules/impute.html
    Fri Aug 22 18:00:29 UTC 2025
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  6. adjusted_mutual_info_score — scikit-learn 1.7.1...

    Gallery examples: Adjustment for chance in clustering performance evaluation Demo of affinity propagation clustering algorithm Demo of DBSCAN clustering algorithm A demo of K-Means clustering on th...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.adjusted_mutual_info_score.html
    Fri Aug 22 18:00:29 UTC 2025
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  7. d2_absolute_error_score — scikit-learn 1.7.1 do...

    Skip to main content Back to top Ctrl + K GitHub Choose version d2_absolute_error_score # sklearn.metrics. d2_absolut...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.d2_absolute_error_score.html
    Fri Aug 22 18:00:33 UTC 2025
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  8. World's most downloaded vector database: Elasti...

    Document ranking types Filters, ranking,..."type": "text" } } } } # Index a document PUT my-index/_doc/2 { "my_vector"...
    www.elastic.co/elasticsearch/vector-database
    Sat Aug 23 04:35:40 UTC 2025
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  9. EY puts Elastic at the heart of GenAI experienc...

    large volumes of diverse documents and seamlessly scale across...including PDFs and other documents. Ernst & Young (EY) , one...
    www.elastic.co/customers/ey
    Sat Aug 23 06:46:00 UTC 2025
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  10. Comparing different hierarchical linkage method...

    This example shows characteristics of different linkage methods for hierarchical clustering on datasets that are “interesting” but still in 2D. The main observations to make are: single linkage is ...
    scikit-learn.org/stable/auto_examples/cluster/plot_linkage_comparison.html
    Fri Aug 22 18:00:32 UTC 2025
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