A Nonmetric Approach to Linear Discriminant Analysis
作者:
Adi Raveh,
期刊:
Journal of the American Statistical Association
(Taylor Available online 1989)
卷期:
Volume 84,
issue 405
页码: 176-183
ISSN:0162-1459
年代: 1989
DOI:10.1080/01621459.1989.10478753
出版商: Taylor & Francis Group
关键词: Allocation rule;Indexes of separation;Nonmetric discriminant analysis
数据来源: Taylor
摘要:
A new nonmetric linear discriminant analysis approach is proposed that is based on the maximization of an index of separation differing from that used by the classical method. The possibility of choosing between Fisher's classical discriminant function and the one proposed here enables us to reduce the number of misclassifications for given data. The method is exemplified on empirical data and various simulations and is compared with the classical linear discriminant analysis.
点击下载:
PDF (1384KB)
返 回