Computation times¶

03:34.110 total execution time for auto_examples_cluster files:

Various Agglomerative Clustering on a 2D embedding of digits (`plot_digits_linkage.py`)	01:13.383	0.0 MB
Comparing different clustering algorithms on toy datasets (`plot_cluster_comparison.py`)	00:51.436	0.0 MB
Compare BIRCH and MiniBatchKMeans (`plot_birch_vs_minibatchkmeans.py`)	00:31.271	0.0 MB
Empirical evaluation of the impact of k-means initialization (`plot_kmeans_stability_low_dim_dense.py`)	00:12.927	0.0 MB
Segmenting the picture of greek coins in regions (`plot_coin_segmentation.py`)	00:09.171	0.0 MB
Inductive Clustering (`plot_inductive_clustering.py`)	00:05.035	0.0 MB
Comparing different hierarchical linkage methods on toy datasets (`plot_linkage_comparison.py`)	00:03.771	0.0 MB
Agglomerative clustering with and without structure (`plot_agglomerative_clustering.py`)	00:03.441	0.0 MB
Vector Quantization Example (`plot_face_compress.py`)	00:02.856	0.0 MB
Color Quantization using K-Means (`plot_color_quantization.py`)	00:02.663	0.0 MB
Selecting the number of clusters with silhouette analysis on KMeans clustering (`plot_kmeans_silhouette_analysis.py`)	00:02.376	0.0 MB
Demo of OPTICS clustering algorithm (`plot_optics.py`)	00:02.144	0.0 MB
Agglomerative clustering with different metrics (`plot_agglomerative_clustering_metrics.py`)	00:02.057	0.0 MB
Adjustment for chance in clustering performance evaluation (`plot_adjusted_for_chance_measures.py`)	00:02.032	0.0 MB
Feature agglomeration vs. univariate selection (`plot_feature_agglomeration_vs_univariate_selection.py`)	00:01.408	0.0 MB
A demo of K-Means clustering on the handwritten digits data (`plot_kmeans_digits.py`)	00:01.108	0.0 MB
Spectral clustering for image segmentation (`plot_segmentation_toy.py`)	00:01.096	0.0 MB
A demo of structured Ward hierarchical clustering on an image of coins (`plot_coin_ward_segmentation.py`)	00:00.957	0.0 MB
A demo of the mean-shift clustering algorithm (`plot_mean_shift.py`)	00:00.883	0.0 MB
Demonstration of k-means assumptions (`plot_kmeans_assumptions.py`)	00:00.878	0.0 MB
Hierarchical clustering: structured vs unstructured ward (`plot_ward_structured_vs_unstructured.py`)	00:00.713	0.0 MB
K-means Clustering (`plot_cluster_iris.py`)	00:00.680	0.0 MB
Demo of affinity propagation clustering algorithm (`plot_affinity_propagation.py`)	00:00.621	0.0 MB
Comparison of the K-Means and MiniBatchKMeans clustering algorithms (`plot_mini_batch_kmeans.py`)	00:00.417	0.0 MB
Feature agglomeration (`plot_digits_agglomeration.py`)	00:00.396	0.0 MB
Demo of DBSCAN clustering algorithm (`plot_dbscan.py`)	00:00.196	0.0 MB
Plot Hierarchical Clustering Dendrogram (`plot_agglomerative_dendrogram.py`)	00:00.190	0.0 MB
Online learning of a dictionary of parts of faces (`plot_dict_face_patches.py`)	00:00.007	0.0 MB