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 mcaUsage
Please refer to the usage notes and this illustrated ipython notebook.
References
Michael Greenacre, Jörg Blasius (2006). Multiple Correspondence Analysis and Related Methods, CRC Press. ISBN 1584886285.
François Husson, Multiple Correspondence Analysis Youtube Playlist, Youtube
History
- 1.0 (2014-06-24)
First release. I’m sure it’s an auspicious date somewhere in the world.
- 1.01 (2015-03-23)
More documentation, in the form of an ipython notebook. Fixed bug #2 affecting python 2.x
- 1.02 (2017-07-29)
Fixed division-by-zero bug (issue #14)
- 1.03 (2018-01-10)
Added sparse matrix support
- 1.04 (2025-05-15)
Improved SVD efficiency (issue #23)
1 maintainer
Release files for mca 1.0.4
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Source distribution (sdist)
| File | Size | Uploaded | |
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| mca-1.0.4.tar.gz | 20.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mca-1.0.4-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 26.8 kB
Release files / mca-1.0.4.tar.gz
| Download URL | mca-1.0.4.tar.gz |
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| Size | 20.5 kB |
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| Tags | Python 2 Python 3 |
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