A Fast Algorithm for Fuzzy Clustering Problem

被引：0
|
作者：
Feng, Zhang [1 ]
Zhang, Wuqin [1 ]
Qiang, Renguo [1 ]
机构：
[1] Chinese Acad Sci, Inst Opt & Elect, Chengdu, Peoples R China
来源：
ICICTA: 2009 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION, VOL II, PROCEEDINGS | 2009年
关键词：
fuzzy clustering; fast algorithm; fuzzy relation;
D O I：
10.1109/ICICTA.2009.387
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents a new fast algorithm for fuzzy clustering problem, based on the properties of fuzzy similarity relations and fuzzy equivalency relations. The fast algorithm has been validated under matlab, with the operation amount less than half and speeds faster 2 times than the traditional algorithm at least.
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页码：633 / 636
页数：4
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