How to K-means Cluster?
1 Ansicht (letzte 30 Tage)
Ältere Kommentare anzeigen
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 Kommentare
Walter Roberson
am 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.
Akzeptierte Antwort
Weitere Antworten (0)
Siehe auch
Produkte
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!