The Research and Application of Clustering Based on Interval Value
Dongsheng Chen · Shuxue de shijian yu renshi · 2010
The data of expressing characters of things is often interval value,because of incomplete information.Fuzzy clustering analysis based on interval value can preserve information in a more great extent.In this paper,the method of using maximum-minimum method to get similarity coefficient is fist proposed,then the computation steps are given to solve such problems,with a numerical example set,and then the methods of fuzzy clustering analysis based on interval value are given,direct clustering method,maximal tree method, and net-making method.At last,the applications of the new clustering method as proposed are applied to practice.