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To overcome the problems of Euclidean distance based clustering algorithms, an efficient algorithm CES is proposed. A distance metric derived from the infinite norm is introduced to measure similarities between objects, through the distance metric, the neighbor searching is converted to the intersection of projection sets searching, which speed up the clustering processing. An efficient neighbor searching...
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