https://github.com/esafak/mca

Multiple correspondence analysis
https://github.com/esafak/mca

statistics

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Multiple correspondence analysis

• Host: GitHub
• URL: https://github.com/esafak/mca
• Owner: esafak
• License: bsd-3-clause
• Created: 2014-06-05T05:12:04.000Z (over 10 years ago)
• Default Branch: master
• Last Pushed: 2022-12-26T22:36:46.000Z (almost 2 years ago)
• Last Synced: 2024-07-19T03:34:46.350Z (4 months ago)
• Topics: statistics
• Language: Python
• Size: 123 KB
• Stars: 178
• Watchers: 16
• Forks: 73
• Open Issues: 3
• Metadata Files:
  • Readme: README.rst
  • Changelog: HISTORY.rst
  • Contributing: CONTRIBUTING.rst
  • License: LICENSE

Awesome Lists containing this project

README

        
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mca

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.. image:: https://badge.fury.io/py/mca.png

    :target: http://badge.fury.io/py/mca

    

.. image:: https://travis-ci.org/esafak/mca.png?branch=master

    :target: https://travis-ci.org/esafak/mca

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

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.. code :: bash

	pip install --user mca

Usage

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Please refer to the `usage notes `_ and `this illustrated ipython notebook `_.

Reference

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Michael Greenacre, Jörg Blasius (2006). `Multiple Correspondence Analysis and Related Methods `_, CRC Press. ISBN 1584886285.