Text Document Clustering for Topic Discovery by Hypergraph Construction

Wei San Lin, Chih Ho Liu, I-Jen Chiang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The paper presents a hypergraph model and HYPERGRAPH DECOMPOSITION ALGORITHM for text document clustering. The experiments on three different data sets from news, Web, and medical literatures have shown our algorithm is significantly better than traditional clustering algorithms, such as K-MEANS, PRINCIPAL DIRECTION DIVISIVE PARTITIONING , AUTOCLASS and HIERACHICAL CLUSTERING.
Original languageEnglish
Title of host publicationThe Ninth International Conference on Advances in Semantic Processing
Publication statusPublished - 2015

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    Lin, W. S., Liu, C. H., & Chiang, I-J. (2015). Text Document Clustering for Topic Discovery by Hypergraph Construction. In The Ninth International Conference on Advances in Semantic Processing