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Joonas Hämäläinen, Tommi Kärkkäinen and Tuomo Rossi
Two new initialization methods for K-means clustering are proposed. Both proposals are based on applying a divide-and-conquer approach for the K-means? type of an initialization strategy. The second proposal also uses multiple lower-dimensional subspaces...
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