A Fuzzy Clustering Algorithm for Interval-valued Data based on Gauss Distribution Functions

LV Ze-hua; JIN Hai; YUAN Ping-peng; ZOU De-qing

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A Fuzzy Clustering Algorithm for Interval-valued Data based on Gauss Distribution Functions

更新时间：2025-07-16

- A Fuzzy Clustering Algorithm for Interval-valued Data based on Gauss Distribution Functions
- Acta Electronica Sinica Vol. 38, Issue 2, Pages: 295-300(2010)
- 作者机构：
  
  (华中科技大学计算机学院服务计算技术与系统教育部重点实验室，， ),湖北,武汉,430074
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391.41
- Published：2010
- 稿件说明：
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LV Ze-hua, JIN Hai, YUAN Ping-peng, et al. A Fuzzy Clustering Algorithm for Interval-valued Data based on Gauss Distribution Functions[J]. Acta Electronica Sinica, 2010, 38(2): 295-300.
DOI：

LV Ze-hua, JIN Hai, YUAN Ping-peng, et al. A Fuzzy Clustering Algorithm for Interval-valued Data based on Gauss Distribution Functions[J]. Acta Electronica Sinica, 2010, 38(2): 295-300. DOI：

摘要

<FONT face=Verdana>摘要：通过分析投票模型中中立者的思想倾向，对区间值数据进行二次特征提取，给出了一种区间值数据的Gauss函数表示法，利用这种方法对区间值数据进行相似度量，从而导出一种新的区间值数据的距离度量公式。将该距离度量公式运用于区间值数据的模糊c均值聚类算法(FCM)中，得出一种新的基于Gauss分布函数的区间值数据的模糊聚类算法，试验表明该方法比传统的区间值数据的模糊聚类算法能获得更好的分类效果。

Abstract

According to analyzing the tendency of neutrals in a vote model

a new kind of similarity measure between interval-valued data based on Gauss distribution functions is proposed and the distance between two interval-valued data is given

and then

a novel fuzzy clustering algorithm for interval-valued data is presented. Examples show that this algorithm can get better performance than other existing methods.

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