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A novel soft clustering algorithm

Release Time:2019-03-11  Hits:

Indexed by: Conference Paper

Date of Publication: 2011-01-01

Included Journals: Scopus、CPCI-S

Volume: 15

Page Number: 5536-5540

Key Words: citation network; complex priority; soft clustering; thegrouth theorem

Abstract: Paper clustering problems in citation network is one of the hottest spots in data mining. However, traditional paper clustering algorithm stresses on the keywords analysis while ignores the "refer-to" relationship, which results in the problem of high time complexity and low accuracy. In this paper, we come up with a novel soft clustering algorithm in accordance with the complex priority and thegrouth theorem, and classify our algorithm into two steps: refer-to relationship analysis and keywords comparison. Experimental results show that our algorithm is able to greatly improve the search accuracy and efficiency. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of [CEIS 2011]

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