how can we know that which cluster has which data points after applying k-means clustering ?

My data size is 100*11. I have applied k-means clustering and clusters are generated. I want to know about the data points of each cluster.Please give me solution of it.

Thanks in advance

Answer 1

[KSSV]

kmean gives you classes of each cluster, from here it is easy to access the group/ class you want. Check the below code for demo:

K = 4 ;  % groups 
N = 5000 ;
x = rand(N,1) ; 
y = rand(N,1) ; 
% apply kmeans 
idx = kmeans([x,y],K) ;
% get each cluster
data = cell(K,1) ;
figure
hold on
for i = 1:K
    data{i} = [x(idx==i),y(idx==i)] ;
    plot(x(idx==i),y(idx==i),'.')    
end

[satendra kumar]

this code is working only for two dimensional data. but my data x is 100*11 size.

[KSSV]

It can be applied for any dimension....read the documentation...

[Image Analyst]

Here's another thing you can read http://www.mathworks.com/matlabcentral/answers/6200-tutorial-how-to-ask-a-question-on-answers-and-get-a-fast-answer.

Answer 2

[Image Analyst]

But the assigned class is exactly what kmeans gives you. Explain why you're confused about this.

Attached are some kmeans demos.

[satendra kumar]

Hello sir thanks for your valuable time. but i want to show the data items of each cluster.