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Multiple factor analysis

Multiple factor analysis (MFA) is a factorial method devoted to the study of tables in which a group of individuals is described by a set of… (More)
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Topic mentions per year

Topic mentions per year

1979-2016
024619792016

Related topics

Related topics

5 relations
Factor analysis of mixed dataGeneralized Procrustes analysisMultiple correspondence analysisPrincipal component analysis
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Related mentions per year

Related mentions per year

1956-2018
1960198020002020
Multiple factor analysis
Principal component analysis
Procrustes analysis
Multiple correspondence analysis
Generalized Procrustes analysis
Factor analysis of mixed data

Papers overview

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2016
2016
Handling missing rows in multi-omics data integration: multiple imputation in multiple factor analysis framework
In omics data integration studies, it is common, for a variety of reasons, for some individuals to not be present in all data… (More)
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2013
2013
Multiple Factor Analysis for Contingency Tables in the FactoMineR Package
Abstract We present multiple factor analysis for contingency tables (MFACT) and its implementation in the FactoMineR package… (More)
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Review
2013
Review
2013
Multiple factor analysis: principal component analysis for multitable and multiblock data sets
Multiple factor analysis (MFA, also called multiple factorial analysis) is an extension of principal component analysis (PCA… (More)
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2009
2009
Simultaneous analysis and multiple factor analysis for contingency tables: Two methods for the joint study of contingency tables
When studying more than one contingency table at the same time, it should be considered that factorial results may be affected by… (More)
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Review
2008
Review
2008
Multiple factor analysis and clustering of a mixture of quantitative, categorical and frequency data
Analysing and clustering units described by a mixture of sets of quantitative, categorical and frequency variables is a relevant… (More)
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2007
2007
Multiple Factor Analysis: main features and application to sensory data
Data table in which a single set of individuals is described by several groups of variables are frequently encountered. In the… (More)
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2006
2006
Integrating ‘omics’ data sets and biological knowledge: Multiple Factor Analysis as a powerful strategy
The huge amount of data provided by genome-scale technologies makes discernible biological meanings difficult to access. Here, we… (More)
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2005
2005
Pork farm odour modelling using multiple-component multiple-factor analysis and neural networks
The number of non-farming rural residents surrounding pork farm operations has increased greatly in many pork-producin nations… (More)
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2004
2004
Comparative morphometrics by factor analysis in two species of diptera
Covariational patterns of characters were compared in adults of two species of flies (Drosophila melanogaster and Musca domestica… (More)
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Review
1979
Review
1979
FACTOR INDETERMINACY IN THE 1930’S AND THE 1970’s SOME INTERESTING PARALLELS
The issue of factor indeterminacy, and its meaning and significance for factor analysis, has been the subject of considerable… (More)
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