Computation times

01:34.054 total execution time for auto_examples_cluster files:

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

00:32.829

0.0 MB

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

00:24.936

0.0 MB

Compare BIRCH and MiniBatchKMeans (plot_birch_vs_minibatchkmeans.py)

00:08.186

0.0 MB

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

00:06.210

0.0 MB

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

00:03.279

0.0 MB

Vector Quantization Example (plot_face_compress.py)

00:03.093

0.0 MB

Agglomerative clustering with and without structure (plot_agglomerative_clustering.py)

00:02.504

0.0 MB

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

00:01.915

0.0 MB

Inductive Clustering (plot_inductive_clustering.py)

00:01.882

0.0 MB

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

00:01.134

0.0 MB

Agglomerative clustering with different metrics (plot_agglomerative_clustering_metrics.py)

00:01.008

0.0 MB

Demo of OPTICS clustering algorithm (plot_optics.py)

00:00.894

0.0 MB

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

00:00.884

0.0 MB

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

00:00.858

0.0 MB

Color Quantization using K-Means (plot_color_quantization.py)

00:00.683

0.0 MB

Feature agglomeration vs. univariate selection (plot_feature_agglomeration_vs_univariate_selection.py)

00:00.551

0.0 MB

Spectral clustering for image segmentation (plot_segmentation_toy.py)

00:00.528

0.0 MB

Demonstration of k-means assumptions (plot_kmeans_assumptions.py)

00:00.413

0.0 MB

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

00:00.376

0.0 MB

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

00:00.360

0.0 MB

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

00:00.332

0.0 MB

K-means Clustering (plot_cluster_iris.py)

00:00.286

0.0 MB

Demo of affinity propagation clustering algorithm (plot_affinity_propagation.py)

00:00.258

0.0 MB

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

00:00.212

0.0 MB

Feature agglomeration (plot_digits_agglomeration.py)

00:00.192

0.0 MB

Demo of DBSCAN clustering algorithm (plot_dbscan.py)

00:00.094

0.0 MB

Plot Hierarchical Clustering Dendrogram (plot_agglomerative_dendrogram.py)

00:00.087

0.0 MB

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

00:00.063

0.0 MB

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

00:00.006

0.0 MB