Text Document Clustering for Topic Discovery by Hypergraph Construction

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

研究成果: 書貢獻/報告類型會議貢獻

摘要

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.
原文英語
主出版物標題The Ninth International Conference on Advances in Semantic Processing
出版狀態已發佈 - 2015

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