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cs-191-ml-ica-image's Introduction

cs-191-ml-ica-image

Independent component analysis (ICA) is a recently developed method in which the goal is to find a linear representation of non-Gaussian data so that the components are statistically independent, or as independent as possible. Such a representation seems to capture the essential structure of the data in many applications, including feature extraction and signal separation [1].

Setup

Pre-requisites

Python 3.7.2 (un-tested on other versions)

Installation

pip install -r requirements.txt

Usage

Run ica.py:

python ica.py

References

[1] Comon, P. (1994). Independent component analysis, a new concept?. Signal processing, 36(3), 287-314

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