An algorithm for conceptual clustering of chinese text
Zhi Cai, Huantong Geng, Xin Zhao, Qing-sheng Cai · 2005
In this paper, an algorithm for conceptual clustering of Chinese text is presented. Authors adopt ontology - Hownet, use VSM (vector space model) to represent document. Then, the authors cluster the document by a partitioned algorithm. The test results show this algorithm is more efficient than the traditional text clustering method based on the keywords set.