Computation times¶
00:41.455 total execution time for auto_examples_cluster files:
Segmenting the picture of greek coins in regions ( |
00:07.962 |
0.0 MB |
Comparing different clustering algorithms on toy datasets ( |
00:06.892 |
0.0 MB |
Compare BIRCH and MiniBatchKMeans ( |
00:03.494 |
0.0 MB |
Various Agglomerative Clustering on a 2D embedding of digits ( |
00:02.045 |
0.0 MB |
A demo of K-Means clustering on the handwritten digits data ( |
00:01.825 |
0.0 MB |
Comparing different hierarchical linkage methods on toy datasets ( |
00:01.825 |
0.0 MB |
Vector Quantization Example ( |
00:01.729 |
0.0 MB |
Agglomerative clustering with and without structure ( |
00:01.652 |
0.0 MB |
Selecting the number of clusters with silhouette analysis on KMeans clustering ( |
00:01.580 |
0.0 MB |
Inductive Clustering ( |
00:01.578 |
0.0 MB |
Demo of OPTICS clustering algorithm ( |
00:01.550 |
0.0 MB |
Empirical evaluation of the impact of k-means initialization ( |
00:01.474 |
0.0 MB |
Spectral clustering for image segmentation ( |
00:01.388 |
0.0 MB |
Agglomerative clustering with different metrics ( |
00:01.002 |
0.0 MB |
Adjustment for chance in clustering performance evaluation ( |
00:00.900 |
0.0 MB |
Feature agglomeration vs. univariate selection ( |
00:00.521 |
0.0 MB |
A demo of structured Ward hierarchical clustering on an image of coins ( |
00:00.515 |
0.0 MB |
Color Quantization using K-Means ( |
00:00.496 |
0.0 MB |
Bisecting K-Means and Regular K-Means Performance Comparison ( |
00:00.406 |
0.0 MB |
Demonstration of k-means assumptions ( |
00:00.395 |
0.0 MB |
A demo of the mean-shift clustering algorithm ( |
00:00.372 |
0.0 MB |
Comparison of the K-Means and MiniBatchKMeans clustering algorithms ( |
00:00.350 |
0.0 MB |
Hierarchical clustering: structured vs unstructured ward ( |
00:00.345 |
0.0 MB |
K-means Clustering ( |
00:00.341 |
0.0 MB |
Demo of affinity propagation clustering algorithm ( |
00:00.286 |
0.0 MB |
Feature agglomeration ( |
00:00.194 |
0.0 MB |
Demo of DBSCAN clustering algorithm ( |
00:00.189 |
0.0 MB |
Plot Hierarchical Clustering Dendrogram ( |
00:00.085 |
0.0 MB |
An example of K-Means++ initialization ( |
00:00.063 |
0.0 MB |
Online learning of a dictionary of parts of faces ( |
00:00.002 |
0.0 MB |