Hybrid Weighted Distance Measures and Their Application to Pattern Recognition

Hybrid Weighted Distance Measures and Their Application to Pattern Recognition
复制标题

DOI：
10.1007/978-3-540-88906-9_3
复制
发表时间：
2008-11
期刊：
--
影响因子：
--
通讯作者：
Zeshui Xu
Zeshui Xu
中科院分区：
其他
文献类型：
--
作者：
Zeshui Xu

文献摘要

被引文献

相似文献

距离测量是发现数据差异的重要手段。在本文中，我们开发了一种基于加权距离度量和有序加权平均算子的混合加权距离度量，并指出了它们的一些特殊情况。然后，我们将开发的方法应用于模式识别。
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.