k-means clustering: save the number of iterations in a matrix

Hello,
With the following command the number of iterations are displayed in the Command Window.
idx = kmeans(X,30,'display','iter');
iter phase num sum
1 1 365 40.9896
2 1 60 37.0645
3 1 18 36.001
4 1 3 35.7457
5 1 1 35.6472
6 2 39 34.8684
7 2 32 34.1611
8 2 16 33.7392
9 2 11 33.3268
10 2 4 33.2144
11 2 1 33.2046
11 iterations, total sum of distances = 33.2046
Is there a way to save the displayed number of iterations and the total sum of distances in a matrix stored in the Workspace?
Thank you. Best,
Pavlos

 Réponse acceptée

[IDX,C,sumd,D] = kmeans(X,30,'display','iter');
where
sum(sumd)
is the sum of distances The number of iterations is not stored in any variable

Plus de réponses (1)

Phu Lai
Phu Lai le 8 Déc 2016
Another way around to get the number of iterations is modifying the kmeans.m source code :)

Catégories

En savoir plus sur Statistics and Machine Learning Toolbox dans Centre d'aide et File Exchange

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by