Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6903241 | Applied Soft Computing | 2018 | 19 Pages |
Abstract
It is crucial to evaluate the clustering quality in cluster analysis. In this paper, a new internal cluster validity index based on the cluster centre and the nearest neighbour cluster is designed according to the geometric distribution of objects. Moreover, a method for determining the optimal number of clusters is proposed. The new methodology can evaluate the clustering results produced by a certain clustering algorithm and determine the optimal number of clusters for a given dataset. Theoretical research and experimental results indicate the validity and good performance of the proposed index and method.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Shibing Zhou, Zhenyuan Xu,