Multivariate analysis of multiblock and multigroup data

作者:Eslami A*; Qannari E M; Kohler A; Bougeard S
来源:Chemometrics and Intelligent Laboratory Systems, 2014, 133: 63-69.
DOI:10.1016/j.chemolab.2014.01.016

摘要

We address the problem of analyzing one or several blocks of variables measured on the same individuals which are a priori divided into several groups. In this framework, we focus on the within-group analysis. For the case of a single dataset, we consider multigroup Principal Component Analysis proposed by several authors (Levin [18]; Krzanowski [16]; Kiers and Ten Berge [13]). A new optimization criterion which characterizes this method and an extension to the case of multiblock datasets are presented. The method is illustrated on the basis of a dataset pertaining to sensory analysis.

  • 出版日期2014-4-15