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First Author : Xiaodan Xu

Date of Publication : 2012-01-01

Journal : Journal of Computers

Affiliation of Author(s) : 数理与信息工程学院

Document Type : 期刊

Volume : Vol.7

Issue : No.10

Page Number : 2471-2478

ISSN : 1796-203X

Key Words : Sub-topic;clustering;semantic;distance;semi-supervised;learning;k-means;clustering

Abstract : Sub-topic clustering is a crucial step in multi-document summarization. The traditional k-means clustering method is not effective for topic clustering because the number of clusters k must be given in advance. This paper describes a new method for sub-to

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