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- W2389471107 abstract "Nowadays,most of the clustering methods are studied towards the onefold attribute type. Therefore,it need to develop the clustering method which could deal with multi-attribute types at the same time in order to satisfy the demanding of the modern large complicated data bases. A clustering method towards multi-attribute types is of vital important in the real applications.In the paper,a clustering algorithm towards multi-attribute types is proposed based on rough sets and granularity. Being different from the traditional point of view,the algorithm could solve multi-attribute types and clustered well. At last,a real example is illustrated to prove it feasible and valid.The result shows that the clustering algorithm based on rough sets and granularity is not only simple and effective,but also could be used to analyse the results clearly and conveniently." @default.
- W2389471107 created "2016-06-24" @default.
- W2389471107 creator A5076163998 @default.
- W2389471107 date "2008-01-01" @default.
- W2389471107 modified "2023-09-23" @default.
- W2389471107 title "A Research of Clustering Method Based on Rough Sets and Granularity" @default.
- W2389471107 hasPublicationYear "2008" @default.
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