updated the kkmeans example

--HG--
extra : convert_revision : svn%3Afdd8eb12-d10e-0410-9acb-85c331704f74/trunk%402321
This commit is contained in:
Davis King 2008-06-15 15:16:26 +00:00
parent 842bdb4a49
commit 05b3538698
1 changed files with 3 additions and 4 deletions

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@ -101,10 +101,9 @@ int main()
test.set_number_of_centers(3);
// You need to pick some initial centers for the k-means algorithm. So here
// we will pick a point from each of the classes.
initial_centers.push_back(samples[0]);
initial_centers.push_back(samples[num]);
initial_centers.push_back(samples[num*2]);
// we will use the dlib::pick_initial_centers() function which tries to find
// n points that are far apart (basically).
pick_initial_centers(3, initial_centers, samples, test.get_kernel());
// now run the k-means algorithm on our set of samples. Note that the train function expects
// its arguments to be dlib::matrix objects so since we have our samples in std::vector objects