Computation timesΒΆ
32:48.942 total execution time for auto_examples_cluster files:
Comparing different clustering algorithms on toy datasets (plot_cluster_comparison.py) |
10:43.983 | 0.0 MB |
Various Agglomerative Clustering on a 2D embedding of digits (plot_digits_linkage.py) |
09:41.915 | 0.0 MB |
Compare BIRCH and MiniBatchKMeans (plot_birch_vs_minibatchkmeans.py) |
03:36.219 | 0.0 MB |
Segmenting the picture of greek coins in regions (plot_coin_segmentation.py) |
03:23.914 | 0.0 MB |
Vector Quantization Example (plot_face_compress.py) |
01:01.794 | 0.0 MB |
Empirical evaluation of the impact of k-means initialization (plot_kmeans_stability_low_dim_dense.py) |
00:40.074 | 0.0 MB |
Comparing different hierarchical linkage methods on toy datasets (plot_linkage_comparison.py) |
00:36.260 | 0.0 MB |
Agglomerative clustering with and without structure (plot_agglomerative_clustering.py) |
00:30.220 | 0.0 MB |
Color Quantization using K-Means (plot_color_quantization.py) |
00:27.265 | 0.0 MB |
Feature agglomeration vs. univariate selection (plot_feature_agglomeration_vs_univariate_selection.py) |
00:20.484 | 0.0 MB |
A demo of K-Means clustering on the handwritten digits data (plot_kmeans_digits.py) |
00:15.142 | 0.0 MB |
Adjustment for chance in clustering performance evaluation (plot_adjusted_for_chance_measures.py) |
00:15.084 | 0.0 MB |
Agglomerative clustering with different metrics (plot_agglomerative_clustering_metrics.py) |
00:13.785 | 0.0 MB |
Selecting the number of clusters with silhouette analysis on KMeans clustering (plot_kmeans_silhouette_analysis.py) |
00:12.145 | 0.0 MB |
Spectral clustering for image segmentation (plot_segmentation_toy.py) |
00:09.111 | 0.0 MB |
Demo of affinity propagation clustering algorithm (plot_affinity_propagation.py) |
00:08.936 | 0.0 MB |
A demo of structured Ward hierarchical clustering on an image of coins (plot_coin_ward_segmentation.py) |
00:06.324 | 0.0 MB |
Demonstration of k-means assumptions (plot_kmeans_assumptions.py) |
00:05.380 | 0.0 MB |
A demo of the mean-shift clustering algorithm (plot_mean_shift.py) |
00:05.265 | 0.0 MB |
Hierarchical clustering: structured vs unstructured ward (plot_ward_structured_vs_unstructured.py) |
00:05.026 | 0.0 MB |
K-means Clustering (plot_cluster_iris.py) |
00:03.806 | 0.0 MB |
Comparison of the K-Means and MiniBatchKMeans clustering algorithms (plot_mini_batch_kmeans.py) |
00:02.954 | 0.0 MB |
Feature agglomeration (plot_digits_agglomeration.py) |
00:02.566 | 0.0 MB |
Demo of DBSCAN clustering algorithm (plot_dbscan.py) |
00:01.260 | 0.0 MB |
Online learning of a dictionary of parts of faces (plot_dict_face_patches.py) |
00:00.030 | 0.0 MB |