The structural clustering and analysis of metric based on granular space

作者:

Highlights:

摘要

In this paper, the research on granular space theory and structural clusters of metric based on granular space is introduced, and a comprehensive of theoretical and analyzing methodologies is developed. The granular space theory is established based on normalized equicrural metric, and the consistent cluster characteristics of ordered granular spaces are derived. Details are shared for some related subject, such as the granular representation of structural cluster from normalized metric, the optimal cluster determination, the fusion of structural cluster, and the structural clustering analysis of metric space based on granular space, etc. Theories and methodologies are established for structural clustering based on metric space, and developed a series of mathematical models and formal description tools for the research on its potential applications. Direct and geometric interpretations for structural clustering analysis are provided to assist deeper understanding the essence of clustering (or classifying) procedure.

论文关键词:Granular computing,Granular space,Normalized metric space,Clustering structural analysis,Consistent cluster,Optimal cluster,Clustering fusion

论文评审过程:Received 21 March 2009, Revised 4 August 2009, Accepted 14 October 2009, Available online 23 October 2009.

论文官网地址:https://doi.org/10.1016/j.patcog.2009.10.009