automatic kmeans: choosing the number of clusters automatically?
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Hi, I was wondering if there is a way in matlab to do automatic kmeans clustering where the number of clusters K is choosen automtically instead of being user defined? Thanks
4 comentarios
Image Analyst
el 27 de Ag. de 2012
And the link I gave below was of no help? Well, search around... because I think I remember earlier this year there was some talk about methods that tried to guess at the best number of clusters to use.
snigdha priya Bommadevara
el 30 de Oct. de 2012
I am trying to determine the number of clusters automatically i.e the value of k automatically depending upon the image details. I have used the VAT alorithm combined with EDBE algorithm to find k and it did not work properly for my large of large array size. Can anyone help me out with the pseudo code for the algorithm to find automatically the number of clusters proposed by Dr.James Bezdek.
Respuestas (2)
kira
el 2 de Mayo de 2019
old question, but I just found a way myself looking at matlab documentation:
klist=2:n;%the number of clusters you want to try
myfunc = @(X,K)(kmeans(X, K));
eva = evalclusters(net.IW{1},myfunc,'CalinskiHarabasz','klist',klist)
classes=kmeans(net.IW{1},eva.OptimalK);
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Image Analyst
el 23 de Ag. de 2012
2 comentarios
huda nawaf
el 20 de Dic. de 2014
*hi,
I used the code of NCestimation_v2 but got this error message
??? Undefined function or variable 'classlabel'.
Error in ==> validity_Index at 5 labels = classlabel;
I used my data with that code
data=dlmread('d:\matlab\r2011a\bin\paper_comm\link_flixster_bin1.txt');
c=kmeans(f1,2);
- I do not know what classlabel should be
Thanks
Image Analyst
el 20 de Dic. de 2014
Sorry, I don't know what NCestimation_v2 is, and I don't have the Statistical Toolbox so I don't have kmeans ().
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