Hybrid Weighted Distance Measures and Their Application to Pattern Recognition

Authors:
Zeshui Xu
Affiliations:
School of Economics and Management, Southeast University, Nanjing, China 210096
Venue:
IDEAL '08 Proceedings of the 9th International Conference on Intelligent Data Engineering and Automated Learning
Year:
2008

Citing 3
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Abstract

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.