Computer Science ›› 2006, Vol. 33 ›› Issue (1): 240-242.
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Abstract: Due to ignorance of available input knowledge current clustering algorithms are not beneficial to the learning and increment of knowledge. With input knowledge clusters can be discovered efficiently and properly. Based on the characteristics of input know
Key words: Clustering, Clustering algorithm, Hi-dimensional dataset, Input knowledge, Relevant dimension set
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