Determining the optimal number of clusters in Kmeans technique

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som 2013-5-24

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回答： kira 2019-5-2

I have a matrix like "A". I want to cluster its data using K-Means method.

A=[45  58  59
76  53
65  71
55  59
35  42
51  74
90  53
63  60
50  78
57  60
28  72
49  53
88  82
100  198
35  35];

I used the following command to cluster data.

[Data_clustred, c]= kmeans(A,num_cluster);

by the way, knowing the optimal number of cluster is neccessary to me.

Is there any criteria that determines the optimal numbers of clusters? if so, How can I write its programm.

any help whould be appreciated. Thanks in advance.

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Answer 1

Walter Roberson 2014-2-5

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http://www.mathworks.com/matlabcentral/answers/34623-how-to-determine-the-optimum-number-of-cluster-use-k-mean-clustering

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som 2014-2-6

编辑：som 2014-2-6

Thanks for your answer. Do you have a complete MATLAB code for K-means algorithm? I mean a code that be able to import a data set, do clustering and export cluster data? Thanks in advance

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Answer 2

min ho lee 2014-2-5

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https://ww2.mathworks.cn/matlabcentral/answers/76879-determining-the-optimal-number-of-clusters-in-kmeans-technique#answer_123384

Community detection by signaling on complex networks.pdf

hi, You can use this article.

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som 2014-2-6

Thanks for the file. Can I ask you to email the pdf file of your answer i.e. "Community detection by signaling on complex networks.pdf" to the following email: [ anvari.t@gmail.com] Thanks in advance

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Answer 3

kira 2019-5-2

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在 MATLAB Online 中打开

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);