Multiple correspondence analysis

Known as: MCA 
In statistics, multiple correspondence analysis (MCA) is a data analysis technique for nominal categorical data, used to detect and represent… (More)
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Papers overview

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2016
2016
Relations between categorical variables can be analyzed conveniently by multiple correspondence analysis (MCA). The graphical… (More)
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2011
2011
A common approach to deal with missing values in multivariate exploratory data analysis consists in minimizing the loss function… (More)
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2010
2010
Multiple correspondence analysis (MCA) is a useful tool for exploring the interdependencies among multiple-choice variables… (More)
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2010
2010
Correspondence analysis is a popular research technique applicable to data and text mining, because the technique can analyze… (More)
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2008
2008
Semantic concept detection has emerged as an intriguing topic in multimedia research recently. The ability to interpret high… (More)
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Highly Cited
2006
Highly Cited
2006
Multiple correspondence analysis (MCA) is an extension of correspondence analysis (CA) which allows one to analyze the pattern of… (More)
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2006
2006
On Line Analytical Processing (OLAP) is a technology basica lly created to provide users with tools in order to explore and navig… (More)
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2006
2006
In the On Line Analytical Processing (OLAP) context, exploration of huge and sparse data cubes is a tedious task which does not… (More)
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1992
1992
The application of eqiuality constraints on the categories of a variable is a simple but useful extension of multiple… (More)
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Review
1992
Review
1992
We formulate multiple correspondence analysis (MCA) as a nonlinear multivariate analysis method that integrates ideas from… (More)
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