Robust principal component analysis based on fuzzy objective function

被引：0
|
作者：
Yang, TN [1 ]
Chen, CJ [1 ]
Lee, CJ [1 ]
Yen, SJ [1 ]
机构：
[1] Chinese Culture Univ, Dept Comp Sci, Taipei, Taiwan
来源：
Proceedings of the Ninth IASTED International Conference on Artificial Intelligence and Soft Computing | 2005年
关键词：
fuzzy theory; principal component extraction; robust robust algorithm;
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：
In this paper, we address the issues related to the design of fuzzy robust principal component analysis algorithms. We formulate a fuzzy objective function for principal component analysis and derive algorithms that can extract the appropriate principal components from the spoiled data set. Artificially generated data sets are used to evaluate the performance of the proposed principal component extraction algorithm.
引用
收藏
页码：111 / 113
页数：3
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