Computation times¶
00:31.663 total execution time for auto_examples_cluster files:
Segmenting the picture of greek coins in regions ( |
00:06.005 |
0.0 MB |
Comparing different clustering algorithms on toy datasets ( |
00:04.114 |
0.0 MB |
Compare BIRCH and MiniBatchKMeans ( |
00:03.282 |
0.0 MB |
Various Agglomerative Clustering on a 2D embedding of digits ( |
00:01.917 |
0.0 MB |
Comparing different hierarchical linkage methods on toy datasets ( |
00:01.689 |
0.0 MB |
Agglomerative clustering with and without structure ( |
00:01.672 |
0.0 MB |
Inductive Clustering ( |
00:01.561 |
0.0 MB |
Vector Quantization Example ( |
00:01.556 |
0.0 MB |
Empirical evaluation of the impact of k-means initialization ( |
00:01.092 |
0.0 MB |
Selecting the number of clusters with silhouette analysis on KMeans clustering ( |
00:01.066 |
0.0 MB |
Agglomerative clustering with different metrics ( |
00:00.946 |
0.0 MB |
Adjustment for chance in clustering performance evaluation ( |
00:00.846 |
0.0 MB |
Demo of OPTICS clustering algorithm ( |
00:00.796 |
0.0 MB |
A demo of K-Means clustering on the handwritten digits data ( |
00:00.727 |
0.0 MB |
Spectral clustering for image segmentation ( |
00:00.557 |
0.0 MB |
Color Quantization using K-Means ( |
00:00.552 |
0.0 MB |
Feature agglomeration vs. univariate selection ( |
00:00.490 |
0.0 MB |
A demo of structured Ward hierarchical clustering on an image of coins ( |
00:00.396 |
0.0 MB |
Demonstration of k-means assumptions ( |
00:00.362 |
0.0 MB |
Bisecting K-Means and Regular K-Means Performance Comparison ( |
00:00.342 |
0.0 MB |
A demo of the mean-shift clustering algorithm ( |
00:00.339 |
0.0 MB |
Hierarchical clustering: structured vs unstructured ward ( |
00:00.316 |
0.0 MB |
K-means Clustering ( |
00:00.269 |
0.0 MB |
Demo of affinity propagation clustering algorithm ( |
00:00.225 |
0.0 MB |
Comparison of the K-Means and MiniBatchKMeans clustering algorithms ( |
00:00.168 |
0.0 MB |
Feature agglomeration ( |
00:00.131 |
0.0 MB |
Plot Hierarchical Clustering Dendrogram ( |
00:00.093 |
0.0 MB |
Demo of DBSCAN clustering algorithm ( |
00:00.092 |
0.0 MB |
An example of K-Means++ initialization ( |
00:00.059 |
0.0 MB |
Online learning of a dictionary of parts of faces ( |
00:00.002 |
0.0 MB |