Computation times¶

02:38.650 total execution time for auto_examples_cluster files:

Various Agglomerative Clustering on a 2D embedding of digits (`plot_digits_linkage.py`)	00:53.129	0.0 MB
Comparing different clustering algorithms on toy datasets (`plot_cluster_comparison.py`)	00:44.193	0.0 MB
Compare BIRCH and MiniBatchKMeans (`plot_birch_vs_minibatchkmeans.py`)	00:22.344	0.0 MB
Segmenting the picture of greek coins in regions (`plot_coin_segmentation.py`)	00:06.862	0.0 MB
Empirical evaluation of the impact of k-means initialization (`plot_kmeans_stability_low_dim_dense.py`)	00:05.265	0.0 MB
Selecting the number of clusters with silhouette analysis on KMeans clustering (`plot_kmeans_silhouette_analysis.py`)	00:03.434	0.0 MB
Comparing different hierarchical linkage methods on toy datasets (`plot_linkage_comparison.py`)	00:02.685	0.0 MB
Agglomerative clustering with and without structure (`plot_agglomerative_clustering.py`)	00:02.600	0.0 MB
Inductive Clustering (`plot_inductive_clustering.py`)	00:02.313	0.0 MB
Vector Quantization Example (`plot_face_compress.py`)	00:02.207	0.0 MB
Color Quantization using K-Means (`plot_color_quantization.py`)	00:01.738	0.0 MB
Demo of OPTICS clustering algorithm (`plot_optics.py`)	00:01.690	0.0 MB
Adjustment for chance in clustering performance evaluation (`plot_adjusted_for_chance_measures.py`)	00:01.563	0.0 MB
Agglomerative clustering with different metrics (`plot_agglomerative_clustering_metrics.py`)	00:01.552	0.0 MB
Feature agglomeration vs. univariate selection (`plot_feature_agglomeration_vs_univariate_selection.py`)	00:01.076	0.0 MB
A demo of K-Means clustering on the handwritten digits data (`plot_kmeans_digits.py`)	00:00.813	0.0 MB
Spectral clustering for image segmentation (`plot_segmentation_toy.py`)	00:00.793	0.0 MB
A demo of structured Ward hierarchical clustering on an image of coins (`plot_coin_ward_segmentation.py`)	00:00.697	0.0 MB
Demonstration of k-means assumptions (`plot_kmeans_assumptions.py`)	00:00.645	0.0 MB
A demo of the mean-shift clustering algorithm (`plot_mean_shift.py`)	00:00.606	0.0 MB
Hierarchical clustering: structured vs unstructured ward (`plot_ward_structured_vs_unstructured.py`)	00:00.529	0.0 MB
K-means Clustering (`plot_cluster_iris.py`)	00:00.502	0.0 MB
Demo of affinity propagation clustering algorithm (`plot_affinity_propagation.py`)	00:00.473	0.0 MB
Feature agglomeration (`plot_digits_agglomeration.py`)	00:00.330	0.0 MB
Comparison of the K-Means and MiniBatchKMeans clustering algorithms (`plot_mini_batch_kmeans.py`)	00:00.311	0.0 MB
Plot Hierarchical Clustering Dendrogram (`plot_agglomerative_dendrogram.py`)	00:00.148	0.0 MB
Demo of DBSCAN clustering algorithm (`plot_dbscan.py`)	00:00.145	0.0 MB
Online learning of a dictionary of parts of faces (`plot_dict_face_patches.py`)	00:00.005	0.0 MB