Computation times¶
00:54.111 total execution time for auto_examples_cluster files:
Demo of HDBSCAN clustering algorithm ( |
00:14.942 |
0.0 MB |
Comparing different clustering algorithms on toy datasets ( |
00:05.590 |
0.0 MB |
Segmenting the picture of greek coins in regions ( |
00:05.382 |
0.0 MB |
Compare BIRCH and MiniBatchKMeans ( |
00:03.559 |
0.0 MB |
Online learning of a dictionary of parts of faces ( |
00:02.341 |
0.0 MB |
Vector Quantization Example ( |
00:02.313 |
0.0 MB |
Inductive Clustering ( |
00:02.050 |
0.0 MB |
Agglomerative clustering with and without structure ( |
00:01.906 |
0.0 MB |
Comparing different hierarchical linkage methods on toy datasets ( |
00:01.901 |
0.0 MB |
Various Agglomerative Clustering on a 2D embedding of digits ( |
00:01.552 |
0.0 MB |
Empirical evaluation of the impact of k-means initialization ( |
00:01.239 |
0.0 MB |
Demo of OPTICS clustering algorithm ( |
00:01.228 |
0.0 MB |
Demonstration of k-means assumptions ( |
00:01.109 |
0.0 MB |
Selecting the number of clusters with silhouette analysis on KMeans clustering ( |
00:01.084 |
0.0 MB |
Agglomerative clustering with different metrics ( |
00:01.075 |
0.0 MB |
Adjustment for chance in clustering performance evaluation ( |
00:01.001 |
0.0 MB |
Bisecting K-Means and Regular K-Means Performance Comparison ( |
00:00.973 |
0.0 MB |
A demo of K-Means clustering on the handwritten digits data ( |
00:00.932 |
0.0 MB |
Feature agglomeration vs. univariate selection ( |
00:00.526 |
0.0 MB |
Spectral clustering for image segmentation ( |
00:00.510 |
0.0 MB |
Color Quantization using K-Means ( |
00:00.509 |
0.0 MB |
A demo of the mean-shift clustering algorithm ( |
00:00.422 |
0.0 MB |
A demo of structured Ward hierarchical clustering on an image of coins ( |
00:00.365 |
0.0 MB |
Hierarchical clustering: structured vs unstructured ward ( |
00:00.354 |
0.0 MB |
Demo of affinity propagation clustering algorithm ( |
00:00.309 |
0.0 MB |
K-means Clustering ( |
00:00.297 |
0.0 MB |
Comparison of the K-Means and MiniBatchKMeans clustering algorithms ( |
00:00.173 |
0.0 MB |
Demo of DBSCAN clustering algorithm ( |
00:00.166 |
0.0 MB |
Feature agglomeration ( |
00:00.145 |
0.0 MB |
Plot Hierarchical Clustering Dendrogram ( |
00:00.095 |
0.0 MB |
An example of K-Means++ initialization ( |
00:00.062 |
0.0 MB |