An Improved Validity Index for Fuzzy Clustering

WANG Li-na; MA Xiao-xiao

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An Improved Validity Index for Fuzzy Clustering

更新时间：2026-09-04

- An Improved Validity Index for Fuzzy Clustering
- Vol. 31, Issue 4, Pages: 68-70(2014)
- 作者机构：
  
  南京信息工程大学机构电子与信息工程学院,江苏,南京,210044
- 作者简介：
- 基金信息：
- DOI：
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- Published：2014
- 稿件说明：
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王丽娜, 马晓晓. 一种改进的模糊聚类有效性指标[J]. 微电子学与计算机, 2014, 31(4): 68-70,74.

WANG Li-na, MA Xiao-xiao. An Improved Validity Index for Fuzzy Clustering[J]. 2014, 31(4): 68-70.
王丽娜, 马晓晓. 一种改进的模糊聚类有效性指标[J]. 微电子学与计算机, 2014, 31(4): 68-70,74. DOI：

WANG Li-na, MA Xiao-xiao. An Improved Validity Index for Fuzzy Clustering[J]. 2014, 31(4): 68-70. DOI：

摘要

在先前指标的基础上提出了一种改进的聚类有效性指标，该指标以紧密性和分离性之比定义，不仅体现了数据的隶属度和几何结构的相关信息，同时也反映了数据的分布情况.实验表明，该指标可以使数据集实现正确划分，具有较高的可靠性.

Abstract

An improved validity index is proposed in this paper

which is based on previous indices.This improved index

defined by the ratio of separation measure and compactness measure

not only contains the information of data membership degree and data structure

but also shows the character of data distribution.Experiments results prove that the improved index can make a correct partition of datasets.Compared with other indexes

it is relatively more effective.

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Related Institution

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