Computation times¶

02:19.354 total execution time for auto_examples_cluster files:

Comparing different clustering algorithms on toy datasets (`plot_cluster_comparison.py`)	00:41.305	0.0 MB
Various Agglomerative Clustering on a 2D embedding of digits (`plot_digits_linkage.py`)	00:40.131	0.0 MB
Compare BIRCH and MiniBatchKMeans (`plot_birch_vs_minibatchkmeans.py`)	00:20.354	0.0 MB
Segmenting the picture of greek coins in regions (`plot_coin_segmentation.py`)	00:08.082	0.0 MB
Empirical evaluation of the impact of k-means initialization (`plot_kmeans_stability_low_dim_dense.py`)	00:04.885	0.0 MB
Agglomerative clustering with and without structure (`plot_agglomerative_clustering.py`)	00:02.825	0.0 MB
Comparing different hierarchical linkage methods on toy datasets (`plot_linkage_comparison.py`)	00:02.636	0.0 MB
Inductive Clustering (`plot_inductive_clustering.py`)	00:02.373	0.0 MB
Vector Quantization Example (`plot_face_compress.py`)	00:02.160	0.0 MB
Color Quantization using K-Means (`plot_color_quantization.py`)	00:01.876	0.0 MB
Demo of OPTICS clustering algorithm (`plot_optics.py`)	00:01.696	0.0 MB
Adjustment for chance in clustering performance evaluation (`plot_adjusted_for_chance_measures.py`)	00:01.602	0.0 MB
Selecting the number of clusters with silhouette analysis on KMeans clustering (`plot_kmeans_silhouette_analysis.py`)	00:01.342	0.0 MB
Agglomerative clustering with different metrics (`plot_agglomerative_clustering_metrics.py`)	00:01.293	0.0 MB
Feature agglomeration vs. univariate selection (`plot_feature_agglomeration_vs_univariate_selection.py`)	00:01.085	0.0 MB
A demo of K-Means clustering on the handwritten digits data (`plot_kmeans_digits.py`)	00:00.785	0.0 MB
A demo of structured Ward hierarchical clustering on an image of coins (`plot_coin_ward_segmentation.py`)	00:00.723	0.0 MB
Spectral clustering for image segmentation (`plot_segmentation_toy.py`)	00:00.698	0.0 MB
A demo of the mean-shift clustering algorithm (`plot_mean_shift.py`)	00:00.613	0.0 MB
Demonstration of k-means assumptions (`plot_kmeans_assumptions.py`)	00:00.604	0.0 MB
Hierarchical clustering: structured vs unstructured ward (`plot_ward_structured_vs_unstructured.py`)	00:00.510	0.0 MB
Demo of affinity propagation clustering algorithm (`plot_affinity_propagation.py`)	00:00.481	0.0 MB
K-means Clustering (`plot_cluster_iris.py`)	00:00.468	0.0 MB
Feature agglomeration (`plot_digits_agglomeration.py`)	00:00.288	0.0 MB
Comparison of the K-Means and MiniBatchKMeans clustering algorithms (`plot_mini_batch_kmeans.py`)	00:00.275	0.0 MB
Demo of DBSCAN clustering algorithm (`plot_dbscan.py`)	00:00.132	0.0 MB
Plot Hierarchical Clustering Dendrogram (`plot_agglomerative_dendrogram.py`)	00:00.129	0.0 MB
Online learning of a dictionary of parts of faces (`plot_dict_face_patches.py`)	00:00.005	0.0 MB