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Generalizing k-means for an arbitrary distance matrix
Generalizing k-means an arbitrary distance matrix
2013/5/2
The original k-means clustering method works only if the exact vectors representing the data points are known. Therefore calculating the distances from the centroids needs vector operations, since the...
First of all we want to thank the editor, Michael Newton, for leading the review and discussion of our work.
Distance correlation is a new class of multivariate dependence coefficients applicable to random vectors of arbitrary and not necessarily equal dimension. Distance covariance and distance correlation...