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/usr/share/octave/site/m/vlfeat/toolbox/demo/vl_demo_kmeans_2d.m is in octave-vlfeat 0.9.17+dfsg0-6build1.

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N         = 10000 ;
dimension = 2 ;
data = rand(dimension,N) ;
numClusters = 20 ;
cc=hsv(numClusters);

[centers, assignments] = vl_kmeans(data, numClusters);

figure
hold on
for i=1:numClusters
    plot(data(1,assignments == i),data(2,assignments == i),'.','color',cc(i,:));
end
plot(centers(1,:),centers(2,:),'k.','MarkerSize',20)
axis off
vl_demo_print('kmeans_2d_rand',0.6);