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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...
Generalized Gamma Convolutions, Dirichlet means, Thorin measures, with explicit examples
Laplace transform Generalized Gamma Convolutions (GGC) Wiener Gamma representation Stieltjes transform Dirichlet processes
2009/5/18
In Section 1, we present a number of classical results concerning the Generalized Gamma Convolution ( : GGC) variables, their Wiener-Gamma representations, and relation with the Dirichlet processes.
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