Computation times

00:29.675 total execution time for auto_examples_cluster files:

Segmenting the picture of greek coins in regions (plot_coin_segmentation.py)

00:04.787

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Comparing different clustering algorithms on toy datasets (plot_cluster_comparison.py)

00:04.290

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Compare BIRCH and MiniBatchKMeans (plot_birch_vs_minibatchkmeans.py)

00:03.245

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Inductive Clustering (plot_inductive_clustering.py)

00:01.752

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Comparing different hierarchical linkage methods on toy datasets (plot_linkage_comparison.py)

00:01.722

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Various Agglomerative Clustering on a 2D embedding of digits (plot_digits_linkage.py)

00:01.543

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Agglomerative clustering with and without structure (plot_agglomerative_clustering.py)

00:01.537

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Vector Quantization Example (plot_face_compress.py)

00:01.493

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Empirical evaluation of the impact of k-means initialization (plot_kmeans_stability_low_dim_dense.py)

00:01.049

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Agglomerative clustering with different metrics (plot_agglomerative_clustering_metrics.py)

00:00.869

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Selecting the number of clusters with silhouette analysis on KMeans clustering (plot_kmeans_silhouette_analysis.py)

00:00.867

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Adjustment for chance in clustering performance evaluation (plot_adjusted_for_chance_measures.py)

00:00.825

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Demo of OPTICS clustering algorithm (plot_optics.py)

00:00.754

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A demo of K-Means clustering on the handwritten digits data (plot_kmeans_digits.py)

00:00.669

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A demo of structured Ward hierarchical clustering on an image of coins (plot_coin_ward_segmentation.py)

00:00.527

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Color Quantization using K-Means (plot_color_quantization.py)

00:00.484

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Feature agglomeration vs. univariate selection (plot_feature_agglomeration_vs_univariate_selection.py)

00:00.477

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Spectral clustering for image segmentation (plot_segmentation_toy.py)

00:00.452

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Hierarchical clustering: structured vs unstructured ward (plot_ward_structured_vs_unstructured.py)

00:00.371

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Bisecting K-Means and Regular K-Means Performance Comparison (plot_bisect_kmeans.py)

00:00.327

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A demo of the mean-shift clustering algorithm (plot_mean_shift.py)

00:00.317

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Demonstration of k-means assumptions (plot_kmeans_assumptions.py)

00:00.299

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K-means Clustering (plot_cluster_iris.py)

00:00.252

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Demo of affinity propagation clustering algorithm (plot_affinity_propagation.py)

00:00.241

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Feature agglomeration (plot_digits_agglomeration.py)

00:00.165

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Comparison of the K-Means and MiniBatchKMeans clustering algorithms (plot_mini_batch_kmeans.py)

00:00.162

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Demo of DBSCAN clustering algorithm (plot_dbscan.py)

00:00.080

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Plot Hierarchical Clustering Dendrogram (plot_agglomerative_dendrogram.py)

00:00.066

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An example of K-Means++ initialization (plot_kmeans_plusplus.py)

00:00.053

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Online learning of a dictionary of parts of faces (plot_dict_face_patches.py)

00:00.001

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