Computation times

00:33.721 total execution time for auto_examples_cluster files:

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

00:06.108

0.0 MB

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

00:04.958

0.0 MB

Compare BIRCH and MiniBatchKMeans (plot_birch_vs_minibatchkmeans.py)

00:03.222

0.0 MB

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

00:02.055

0.0 MB

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

00:01.715

0.0 MB

Inductive Clustering (plot_inductive_clustering.py)

00:01.657

0.0 MB

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

00:01.548

0.0 MB

Agglomerative clustering with and without structure (plot_agglomerative_clustering.py)

00:01.470

0.0 MB

Spectral clustering for image segmentation (plot_segmentation_toy.py)

00:01.351

0.0 MB

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

00:01.245

0.0 MB

Vector Quantization Example (plot_face_compress.py)

00:01.201

0.0 MB

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

00:01.092

0.0 MB

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

00:00.838

0.0 MB

Agglomerative clustering with different metrics (plot_agglomerative_clustering_metrics.py)

00:00.829

0.0 MB

Demo of OPTICS clustering algorithm (plot_optics.py)

00:00.737

0.0 MB

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

00:00.456

0.0 MB

Feature agglomeration vs. univariate selection (plot_feature_agglomeration_vs_univariate_selection.py)

00:00.453

0.0 MB

Color Quantization using K-Means (plot_color_quantization.py)

00:00.412

0.0 MB

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

00:00.367

0.0 MB

Demonstration of k-means assumptions (plot_kmeans_assumptions.py)

00:00.341

0.0 MB

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

00:00.336

0.0 MB

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

00:00.315

0.0 MB

K-means Clustering (plot_cluster_iris.py)

00:00.260

0.0 MB

Demo of affinity propagation clustering algorithm (plot_affinity_propagation.py)

00:00.234

0.0 MB

Feature agglomeration (plot_digits_agglomeration.py)

00:00.166

0.0 MB

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

00:00.159

0.0 MB

Demo of DBSCAN clustering algorithm (plot_dbscan.py)

00:00.077

0.0 MB

Plot Hierarchical Clustering Dendrogram (plot_agglomerative_dendrogram.py)

00:00.066

0.0 MB

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

00:00.052

0.0 MB

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

00:00.001

0.0 MB