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- W2360337847 abstract "The concepts of high attribute dimensional information system are firstly proposed, and a new dynamic clustering method on the basis of sparse feature difference degree is presented. The new method is flexible and sparse feature attribute-oriented. By virtue of sparse feature difference degree, it can dynamically and effectively classify attributes. Moreover, it is fault-tolerant. The algorithm will have important application in high attribute dimensional data mining." @default.
- W2360337847 created "2016-06-24" @default.
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- W2360337847 date "2004-01-01" @default.
- W2360337847 modified "2023-09-28" @default.
- W2360337847 title "Dynamic clustering method on the basis of sparse feature" @default.
- W2360337847 hasPublicationYear "2004" @default.
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