Clustering Validity Function Based on Partition Coefficient Combined with Total Variation

FAN Jiu-lun; WU Cheng-mao

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Clustering Validity Function Based on Partition Coefficient Combined with Total Variation

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- Clustering Validity Function Based on Partition Coefficient Combined with Total Variation
- Acta Electronica Sinica Vol. 29, Issue 11, Pages: 1561-1563(2001)
- 作者机构：
  
  西安邮电学院信息与控制系,陕西,西安,710061
- 作者简介：
- 基金信息：
- DOI：
  CLC： O235
- Published：2001
- 稿件说明：
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FAN Jiu-lun, WU Cheng-mao. Clustering Validity Function Based on Partition Coefficient Combined with Total Variation[J]. Acta Electronica Sinica, 2001, 29(11): 1561-1563.
DOI：

FAN Jiu-lun, WU Cheng-mao. Clustering Validity Function Based on Partition Coefficient Combined with Total Variation[J]. Acta Electronica Sinica, 2001, 29(11): 1561-1563. DOI：

摘要

划分系数是聚类有效性检测中常用方法之一.针对划分系数存在的严重不足

本文从一个新的角度对划分系数进行修改.结合数据的模糊划分得到的总变差

提出了二个新的聚类有效性标准.实验结果表明

本文提出的方法具有良好的分类性能.

Abstract

Partition coefficient is a common method for clustering validity test.Based on the serious limitation of partition coefficient

modified definitions are given through a new point of view.Two new clustering validity functions are proposed using partition coefficient combined with total variation in fuzzy-partition.Experimental results show that the new methods have good classification performance.

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