Multiple factor analysis: principal component analysis for multitable and multiblock data sets-Reference-Cited by-同舟云学术

Multiple factor analysis: principal component analysis for multitable and multiblock data sets

Published:2013-02-14 Issue:2 Volume:5 Page:149-179
ISSN:1939-5108
Container-title:Wiley Interdisciplinary Reviews: Computational Statistics
language:en
Short-container-title:WIREs Comp Stat

Author:

Abdi Hervé,Williams Lynne J.,Valentin Domininique

Publisher

Wiley

Subject

Statistics and Probability

Reference156 articles.

1. DMFA: dual hierarchical multiple factor analysis;Lê;Commun Stat: Theory Methods,2010

2. STATIS and DISTATIS: optimum multi-table principal component analysis and three way metric multidimensional scaling;Abdi;Wiley Interdiscip Rev: Comput Stat,2012

3. Multiple Subject Barycentric Discriminant Analysis (MUSUBADA): how to assign scans to categories without using spatial normalization;Abdi;Comput Math Methods Med,2012

4. Analysis of regional cerebral blood flow data to discriminate among Alzheimer's disease, fronto-temporal dementia, and elderly controls: a multi-block barycentric discriminant analysis (MUBADA) methodology;Abdi;J Alzheimer's Dis,2012

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