This is documentation for an old release of Scikit-learn (version 1.4). Try the latest stable release (version 1.6) or development (unstable) versions.
Clustering¶
Examples concerning the sklearn.cluster
module.
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A demo of K-Means clustering on the handwritten digits data
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A demo of structured Ward hierarchical clustering on an image of coins
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Adjustment for chance in clustering performance evaluation
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Agglomerative clustering with and without structure
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Bisecting K-Means and Regular K-Means Performance Comparison
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Comparing different clustering algorithms on toy datasets
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Comparing different hierarchical linkage methods on toy datasets
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Comparison of the K-Means and MiniBatchKMeans clustering algorithms
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Empirical evaluation of the impact of k-means initialization
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Hierarchical clustering: structured vs unstructured ward
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Selecting the number of clusters with silhouette analysis on KMeans clustering
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Various Agglomerative Clustering on a 2D embedding of digits