Chonglun Fang

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This paper proposes a novel k′-means algorithm for clustering analysis for the cases that the true number of clusters in a data or points set is not known in advance. That is, assuming that the number of seed-points in the algorithm is set to be larger than the true number k′ of clusters in the data set, the proposed algorithm can assign the k′ seed-points(More)
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