Multi-view Clustering of Multilingual Documents

被引：0

作者：

Kim, Young-Min ^{[1
]}

Amini, Massih-Reza

Goutte, Cyril

Gallinari, Patrick ^{[1
]}

机构：

[1] Univ Paris 06, Lab Informat Paris 6, F-75016 Paris, France

来源：

SIGIR 2010: PROCEEDINGS OF THE 33RD ANNUAL INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH DEVELOPMENT IN INFORMATION RETRIEVAL | 2010年

关键词：

Multilingual document clustering; Multi-view learning; PLSA;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We propose a new multi-view clustering method which uses clustering results obtained on each view as a voting pattern in order to construct a new set of multi-view clusters. Our experiments on a multilingual corpus of documents show that performance increases significantly over simple concatenation and another multi-view clustering technique.

引用

页码：821 / 822

页数：2

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