A Study on An Improved Algorithm of Self-Adaptive Clustering Network

Author

Wu, Xiaojun ; Wang, Shitong ; Zheng, Yujie ; Yu, Dongjun ; Su, Dongxue ; Yang, Jingyu ; Ni, Xiuqing

Author_Institution

Sch. of Electron. & Inf., Jiangsu Univ. of Sci. & Technol., Zhenjiang

Volume

2

fYear

0

fDate

0-0 0

Firstpage

10458

Lastpage

10461

Abstract

A study has been made on the algorithm of adaptive clustering network. The fact that different feature component has different function has not been considered in the algorithm of adaptive clustering network. The weight of every feature component has been considered in obtaining winning node and vigilance test of it. The weighted distance has been introduced for the patterns. An improved algorithm of adaptive clustering network has been proposed based on the above considerations. We have made experiments on Anderson´s data and singular value features of ORL image base respectively. The experimental results show that both effectiveness and adaptiveness of the proposed algorithm has been improved

Keywords

combinatorial mathematics; pattern clustering; self-adjusting systems; clustering analysis; self-adaptive clustering network; singular value features; weighted distance; Adaptive control; Adaptive systems; Algorithm design and analysis; Automation; Clustering algorithms; Intelligent control; Programmable control; Testing; adaptive clustering network; clustering algorithm; clustering analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1714053

Filename

1714053