Computation timesΒΆ
04:20.047 total execution time for auto_examples_cluster files:
01:16.513: Comparing different clustering algorithms on toy datasets (
plot_cluster_comparison.py
)01:06.371: Various Agglomerative Clustering on a 2D embedding of digits (
plot_digits_linkage.py
)00:34.099: Compare BIRCH and MiniBatchKMeans (
plot_birch_vs_minibatchkmeans.py
)00:12.731: Segmenting the picture of greek coins in regions (
plot_coin_segmentation.py
)00:10.110: Online learning of a dictionary of parts of faces (
plot_dict_face_patches.py
)00:07.316: Empirical evaluation of the impact of k-means initialization (
plot_kmeans_stability_low_dim_dense.py
)00:07.246: Vector Quantization Example (
plot_face_compress.py
)00:06.413: Comparing different hierarchical linkage methods on toy datasets (
plot_linkage_comparison.py
)00:04.566: Agglomerative clustering with and without structure (
plot_agglomerative_clustering.py
)00:04.159: Color Quantization using K-Means (
plot_color_quantization.py
)00:03.951: Inductive Clustering (
plot_inductive_clustering.py
)00:03.710: Selecting the number of clusters with silhouette analysis on KMeans clustering (
plot_kmeans_silhouette_analysis.py
)00:02.673: Demo of OPTICS clustering algorithm (
plot_optics.py
)00:02.560: Spectral clustering for image segmentation (
plot_segmentation_toy.py
)00:02.520: Adjustment for chance in clustering performance evaluation (
plot_adjusted_for_chance_measures.py
)00:02.460: A demo of K-Means clustering on the handwritten digits data (
plot_kmeans_digits.py
)00:02.397: Feature agglomeration vs. univariate selection (
plot_feature_agglomeration_vs_univariate_selection.py
)00:02.282: Agglomerative clustering with different metrics (
plot_agglomerative_clustering_metrics.py
)00:01.289: Demo of affinity propagation clustering algorithm (
plot_affinity_propagation.py
)00:01.203: Demonstration of k-means assumptions (
plot_kmeans_assumptions.py
)00:01.122: A demo of structured Ward hierarchical clustering on an image of coins (
plot_coin_ward_segmentation.py
)00:00.947: Hierarchical clustering: structured vs unstructured ward (
plot_ward_structured_vs_unstructured.py
)00:00.938: A demo of the mean-shift clustering algorithm (
plot_mean_shift.py
)00:00.845: K-means Clustering (
plot_cluster_iris.py
)00:00.663: Comparison of the K-Means and MiniBatchKMeans clustering algorithms (
plot_mini_batch_kmeans.py
)00:00.538: Feature agglomeration (
plot_digits_agglomeration.py
)00:00.425: Demo of DBSCAN clustering algorithm (
plot_dbscan.py
)