期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2013
卷号：4
期号：6-1
出版社：Seventh Sense Research Group
摘要：Clustering is one basic and important data mining approach used independently as well as the preprocessing stage in many data mining applications. The clustering process basically divides the available dataset into smaller subsets called clusters. These clusters are generally substantially different from one other. In this present work, the clustering is performed on text documents. Text document clustering basically divide the available documents in sub groups based on clustering parameters. The document clustering includes number of basic phenomenon such as document organization, topic extraction and the information retrieval. In this, an improvement clustering approach is defined over the basic clustering approach. The basic clustering approaches that we have to improve in this work are KMeans Clustering and CMeans Clustering. The improvement is here done with the inclusion of PSO (Particle Swarm Optimization).
