Kernel Entropy Component Analysis in Python

This is a Python implementation of Kernel Entropy Component Analysis (KECA), compatible with scikit-learn.

Installation and Use

This package is pure Python, and depends only on numpy, scipy, and scikit-learn. The released version can be installed via pip:

$ pip install kernel_eca

A basic example of its use can be found in Example.ipynb.

Requirements

    numpy >= 1.10.1
    sklearn >= 0.16.1
    scipy >= 0.15.1

More Informations

The implementation is based on

R. Jenssen, "Kernel Entropy Component Analysis," 
IEEE Transactions on Pattern Analysis and Machine 
Intelligence, 32(5), 847-860, 2010.