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

 Accepted Answer

[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

More Answers (1)

Another way around to get the number of iterations is modifying the kmeans.m source code :)

Asked:

on 31 Jan 2014

Answered:

on 8 Dec 2016

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