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- W2370672839 abstract "This paper proposes a new clustering algorithm named maximum density clustering algorithm(MDCA). In MDCA the concept of density is introduced to identify the count of clusters automatically.By selecting the densest object as the threshold, densities of those objects around the densest object are reviewed to decide the partition of basic blocks. Then the basic blocks are merged to form clusters of arbitrary shape. Experiments show that the ability and validity of MDCA in processing unknown datasets are all better than traditional partition-based clustering algorithms." @default.
- W2370672839 created "2016-06-24" @default.
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- W2370672839 date "2009-01-01" @default.
- W2370672839 modified "2023-09-25" @default.
- W2370672839 title "Maximum density clustering algorithm" @default.
- W2370672839 hasPublicationYear "2009" @default.
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