期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2013
卷号：3
期号：4
出版社：S.S. Mishra
摘要：Document clustering help in organising documents in groups according to their similarity of contents. This paper presents the study of various clustering techniques. In particular K-means [3], Agglomerative Hierarchical Clustering. In addition to the various clustering techniques this paper also discusses about various document-representing techniques in graph .In particular Vector Space Model [2, 18] and Matrix Representation [2]. After studying all these things, we created a new approach of clustering algorithm and also a new representation technique of documents. We compared our results with K-means Algorithm and found that our approach is giving good results
关键词：Document Clustering; K-means; Vector Space Model; Agglomerative Hierarchical Clustering
