How to K-means Cluster?
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Hi, I have a 732x29 matrix and I would like to cluster the data using kmeasn clustering. The matrix has two clusters (2 classes) that are either 1 or 2 and the 1 or 2 is in the 27th column f the matrix. Here is what I have so far:
fid=fopen('all_classes_withns_dmjd.txt');
myimport=textscan(fid,'%s %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f','Headerlines',1);
fclose(fid);
X=cell2mat(myimport(:,2:29));
This works and it imports the code. What do I do to cluster it? I selected the classes like so:
mydata(1:1016,:);
X= mydata(1:1016,1);
Y= mydata(1:1016,2);
scatter(X,Y)
But I think there is a better way, because this way, MATLAB will not automatically make the data 2 clusters.
I tried the code in the website like so, but it does not work! Why?
fid=fopen('all_classes_withns_dmjd.txt');
myimport=textscan(fid,'%s %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f','Headerlines',1);
fclose(fid);
X=cell2mat(myimport(:,2:29));
opts = statset('Display','final');
[idx,C] = kmeans(X,2,...
'Distance','city',...
'Replicates',5,...
'Options',opts);
plot(X(idx==1,1),X(idx==1,2),'r.','MarkerSize',12)
hold on
plot(X(idx==2,1),X(idx==2,2),'b.','MarkerSize',12)
plot(C(:,1),C(:,2),'kx',...
'MarkerSize',12,'LineWidth',2)
plot(C(:,1),C(:,2),'ko',...
'MarkerSize',12,'LineWidth',2)
legend('Cluster 1','Cluster 2','Centroids',...
'Location','NW')
Thanks!
6 Comments
Walter Roberson
on 25 Jun 2013
At the MATLAB command prompt use the command
which kmeans
If it gives you a result which is not under a MATLAB toolbox directory then the kmeans that it finds is interfering with the toolbox kmeans and you must rename the kmeans that it does find.
Note: kmeans is part of the Statistics toolbox so you must have that installed and licensed.
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