一种基于粒度的聚类算法

A Clustering Algorithm Based on Granularity

聚类和粒度具有天然的相通性,本文探讨了基于粒度聚类算法的一般框架,并基于该框架,研究了一种基于网格密度的文本聚类算法,最后以例证说明这一方法的可行性。

Clustering analysis and granular computing are consistent in nature. This paper discusses a generic framework of clustering based on granularity. Based on the framework, the paper proposes a text clustering algorithm named GCBGD（granularity clustering based on grid density）. The experiment results show that the proposed method has high performance and is feasible.