Multiple correspondence analysis with pandas
Project description
mca is a Multiple Correspondence Analysis (MCA) package for python, intended to be used with pandas. MCA is a feature extraction method; essentially PCA for categorical variables. You can use it, for example, to address multicollinearity or the curse of dimensionality with big categorical variables.
Installation
pip install --user mca
Usage
Reference
Michael Greenacre, Jörg Blasius (2006). Multiple Correspondence Analysis and Related Methods, CRC Press. ISBN 1584886285.
History
- 1.0 (2014-06-24)
First release. I’m sure it’s an auspicious date somewhere in the world.
Project details
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