A study on an improved algorithm of self-adaptive clustering network

被引：0

作者：

Wu, Xiaojun ^{[1
,2
]}

Wang, Shitong ^{[2
]}

Zheng, Yujie ^{[3
]}

Yu, Dongjun ^{[3
]}

Su, Dongxue ^{[1
]}

Yang, Jingyu ^{[3
]}

Ni, Xiuqing ^{[3
]}

机构：

[1] Jiangsu Univ Sci & Technol, Sch Elect & Informat, Zhenjiang 212003, Peoples R China

[2] Southern Yangtze Univ, Sch Informat Engn, Wuxi 214036, Peoples R China

[3] Nanjing Univ Sci & Technol, Sch Informat, Nanjing 210094, Jiangsu, Peoples R China

来源：

WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS | 2006年

关键词：

adaptive clustering network; clustering analysis; clustering algorithm;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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 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.

引用

页码：804 / 804

页数：1