We have 1D vector say DS of size 1X100, How to apply k-means cluster or c-means cluster and How to find number of clusters,iteration number, standard deviation of each cluster. we tried below code but it is not what we expected answer.
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data = load('fcmdata.dat'); % load some sample data
n_clusters = 2; % number of clusters
[center,U,obj_fcn] = fcm(DS{1,1}', 24);
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KSSV
2018 年 3 月 13 日
A = randi([1 10],1,100) ;
N = 5 ;
idx = kmeans(A',N) ;
B = cell(N,1) ;
figure
hold on
for i = 1:5
plot(i,A(idx==i),'.','Markersize',20,'color',rand(3,1)) ;
B{i} = A(idx==i) ;
end
Now B has all the clusters......apply your standard deviation on B.
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