Computation times¶
01:36.972 total execution time for auto_examples_cluster files:
Comparing different clustering algorithms on toy datasets ( |
00:32.509 |
0.0 MB |
Various Agglomerative Clustering on a 2D embedding of digits ( |
00:17.950 |
0.0 MB |
Compare BIRCH and MiniBatchKMeans ( |
00:10.304 |
0.0 MB |
Segmenting the picture of greek coins in regions ( |
00:10.194 |
0.0 MB |
Empirical evaluation of the impact of k-means initialization ( |
00:03.058 |
0.0 MB |
Online learning of a dictionary of parts of faces ( |
00:02.805 |
0.0 MB |
Comparing different hierarchical linkage methods on toy datasets ( |
00:02.160 |
0.0 MB |
Agglomerative clustering with and without structure ( |
00:02.025 |
0.0 MB |
Inductive Clustering ( |
00:01.862 |
0.0 MB |
Vector Quantization Example ( |
00:01.757 |
0.0 MB |
Selecting the number of clusters with silhouette analysis on KMeans clustering ( |
00:01.704 |
0.0 MB |
Color Quantization using K-Means ( |
00:01.343 |
0.0 MB |
Demo of OPTICS clustering algorithm ( |
00:01.145 |
0.0 MB |
Agglomerative clustering with different metrics ( |
00:01.089 |
0.0 MB |
Adjustment for chance in clustering performance evaluation ( |
00:01.019 |
0.0 MB |
A demo of K-Means clustering on the handwritten digits data ( |
00:00.772 |
0.0 MB |
Spectral clustering for image segmentation ( |
00:00.744 |
0.0 MB |
Demo of affinity propagation clustering algorithm ( |
00:00.687 |
0.0 MB |
Demonstration of k-means assumptions ( |
00:00.647 |
0.0 MB |
Feature agglomeration vs. univariate selection ( |
00:00.625 |
0.0 MB |
Hierarchical clustering: structured vs unstructured ward ( |
00:00.515 |
0.0 MB |
A demo of structured Ward hierarchical clustering on an image of coins ( |
00:00.421 |
0.0 MB |
A demo of the mean-shift clustering algorithm ( |
00:00.394 |
0.0 MB |
K-means Clustering ( |
00:00.389 |
0.0 MB |
Comparison of the K-Means and MiniBatchKMeans clustering algorithms ( |
00:00.305 |
0.0 MB |
Plot Hierarchical Clustering Dendrogram ( |
00:00.218 |
0.0 MB |
Feature agglomeration ( |
00:00.197 |
0.0 MB |
Demo of DBSCAN clustering algorithm ( |
00:00.134 |
0.0 MB |