Computation times¶
00:34.177 total execution time for auto_examples_cluster files:
Comparing different clustering algorithms on toy datasets ( |
00:06.327 |
0.0 MB |
Segmenting the picture of greek coins in regions ( |
00:04.862 |
0.0 MB |
Compare BIRCH and MiniBatchKMeans ( |
00:03.298 |
0.0 MB |
Empirical evaluation of the impact of k-means initialization ( |
00:01.888 |
0.0 MB |
Comparing different hierarchical linkage methods on toy datasets ( |
00:01.693 |
0.0 MB |
Selecting the number of clusters with silhouette analysis on KMeans clustering ( |
00:01.681 |
0.0 MB |
Inductive Clustering ( |
00:01.600 |
0.0 MB |
Agglomerative clustering with and without structure ( |
00:01.520 |
0.0 MB |
Various Agglomerative Clustering on a 2D embedding of digits ( |
00:01.338 |
0.0 MB |
Vector Quantization Example ( |
00:01.310 |
0.0 MB |
A demo of K-Means clustering on the handwritten digits data ( |
00:01.207 |
0.0 MB |
Spectral clustering for image segmentation ( |
00:01.093 |
0.0 MB |
Agglomerative clustering with different metrics ( |
00:00.851 |
0.0 MB |
Adjustment for chance in clustering performance evaluation ( |
00:00.812 |
0.0 MB |
Demo of OPTICS clustering algorithm ( |
00:00.754 |
0.0 MB |
A demo of structured Ward hierarchical clustering on an image of coins ( |
00:00.485 |
0.0 MB |
Feature agglomeration vs. univariate selection ( |
00:00.458 |
0.0 MB |
Bisecting K-Means and Regular K-Means Performance Comparison ( |
00:00.422 |
0.0 MB |
K-means Clustering ( |
00:00.420 |
0.0 MB |
Color Quantization using K-Means ( |
00:00.404 |
0.0 MB |
Demonstration of k-means assumptions ( |
00:00.346 |
0.0 MB |
A demo of the mean-shift clustering algorithm ( |
00:00.321 |
0.0 MB |
Hierarchical clustering: structured vs unstructured ward ( |
00:00.313 |
0.0 MB |
Demo of affinity propagation clustering algorithm ( |
00:00.241 |
0.0 MB |
Feature agglomeration ( |
00:00.166 |
0.0 MB |
Comparison of the K-Means and MiniBatchKMeans clustering algorithms ( |
00:00.163 |
0.0 MB |
Demo of DBSCAN clustering algorithm ( |
00:00.081 |
0.0 MB |
Plot Hierarchical Clustering Dendrogram ( |
00:00.069 |
0.0 MB |
An example of K-Means++ initialization ( |
00:00.054 |
0.0 MB |
Online learning of a dictionary of parts of faces ( |
00:00.001 |
0.0 MB |