Multiblock Linear Discriminant Analysis

被引：0
|
作者：
Casin, Philippe [1 ]
机构：
[1] UFR Droit Econ Adm Ile Saulcy, F-57000 Metz, France
来源：
JOURNAL OF THE SFDS | 2015年 / 156卷 / 04期
关键词：
multivariate data table; linear discriminant analysis; generalized canonical analysis; multi-block data analysis; multi-group data analysis;
D O I：
暂无
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
The aim of this paper is to propose a new method, multiblock linear discriminant analysis which generalizes linear discriminant analysis and generalized canonical correlation analysis, and is a method for analyzing multiblock and multigroup data tables; MLDA computes one or several new variables for each data table, such as these new variables take into account both relationships between sets of variables and canonical correlation between each data table and the partition of individuals.
引用
收藏
页码：1 / 20
页数：20
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