Computation times

00:45.220 total execution time for auto_examples_cluster files:

Demo of HDBSCAN clustering algorithm (plot_hdbscan.py)

00:09.965

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

00:09.420

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

00:05.072

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Compare BIRCH and MiniBatchKMeans (plot_birch_vs_minibatchkmeans.py)

00:03.171

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

00:01.762

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

00:01.654

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Inductive Clustering (plot_inductive_clustering.py)

00:01.570

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Agglomerative clustering with and without structure (plot_agglomerative_clustering.py)

00:01.504

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

00:01.124

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Demo of OPTICS clustering algorithm (plot_optics.py)

00:01.071

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

00:00.965

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

00:00.946

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Demonstration of k-means assumptions (plot_kmeans_assumptions.py)

00:00.922

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

00:00.905

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Agglomerative clustering with different metrics (plot_agglomerative_clustering_metrics.py)

00:00.860

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

00:00.781

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Feature agglomeration vs. univariate selection (plot_feature_agglomeration_vs_univariate_selection.py)

00:00.558

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Color Quantization using K-Means (plot_color_quantization.py)

00:00.498

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Spectral clustering for image segmentation (plot_segmentation_toy.py)

00:00.490

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

00:00.334

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

00:00.302

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

00:00.293

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Demo of affinity propagation clustering algorithm (plot_affinity_propagation.py)

00:00.251

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K-means Clustering (plot_cluster_iris.py)

00:00.243

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

00:00.154

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Demo of DBSCAN clustering algorithm (plot_dbscan.py)

00:00.142

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Feature agglomeration (plot_digits_agglomeration.py)

00:00.124

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Plot Hierarchical Clustering Dendrogram (plot_agglomerative_dendrogram.py)

00:00.080

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

00:00.054

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Vector Quantization Example (plot_face_compress.py)

00:00.002

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

00:00.002

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