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A Novel Clustering Algorithm Using Hypergraph-Based Granular Computing

delete2009-01-01
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PRE
AI
Q
Qun Liu *
廖晓峰 (Xiaofeng Liao)
Y
Yu Wu
DOI:10.1002/int.20393delete
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Abstract

Abstract

En 中文
Clustering is an important technique in data mining. In this paper, we introduce a new clustering algorithm. This algorithm, based on granular computing, constructs a hypergraph (simplicial complex) by the hypergraph bisection algorithm. It will discover the similarities and associations among documents. In some experiments on Web data, the proposed algorithm is used; the results are quite satisfactory. (C) 2009 Wiley Periodicals, Inc.
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Journal

International Journal of Intelligent Systems cover
International Journal of Intelligent Systems
IF:
3.7
Papers:
3.0K
Citations:
8.1K

Organization

C
Chongqing University
Scholars:
5.1W
Papers: 4.1W
Citations: 6.0W
C
chongqing university of posts & telecommunications
Scholars:
6.7K
Papers: 5.3K
Citations: 5