Hybrid Weighted Distance Measures and Their Application to Pattern Recognition

被引：0

作者：

Xu, Zeshui ^{[1
]}

机构：

[1] Southeast Univ, Sch Econ & Management, Nanjing 210096, Peoples R China

来源：

INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING - IDEAL 2008 | 2008年 / 5326卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Distance measures are an important means to find the difference of data. In this paper, we develop a type of hybrid weighted distance measures which are based on the weighted distance measures and the ordered weighted averaging operator, and aslo point out some of their special cases. Then, we apply the developed measures to pattern recognition.

引用

页码：17 / 23

页数：7

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