Li Xiao Jiang

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The routine K-means clustering and its upgrading alternatives were found with some problems as these: deleting Dimension Trap, failure to identifying initially the clustering center and the number of clustering attributes. In regard to these problems, a new clustering method was discussed along with two parameters introduced assessing clustering effect. The(More)
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