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updated this example
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@ -114,10 +114,8 @@ int main()
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// n points that are far apart (basically).
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pick_initial_centers(3, initial_centers, samples, test.get_kernel());
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// now run the k-means algorithm on our set of samples. Note that the train function expects
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// its arguments to be dlib::matrix objects so since we have our samples in std::vector objects
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// we need to turn them into matrix objects. The vector_to_matrix() function does this for us.
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test.train(vector_to_matrix(samples),vector_to_matrix(initial_centers));
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// now run the k-means algorithm on our set of samples.
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test.train(samples,initial_centers);
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// now loop over all our samples and print out their predicted class. In this example
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// all points are correctly identified.
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