Tutorials in Quantitative Methods for Psychology (Mar 2010)

An Introduction to Independent Component Analysis: InfoMax and FastICA algorithms

  • Dominique Gosselin,
  • Sylvain Chartier,
  • Dominic Langlois

Journal volume & issue
Vol. 6, no. 1
pp. 31 – 38

Abstract

Read online

This paper presents an introduction to independent component analysis (ICA). Unlike principal component analysis, which is based on the assumptions of uncorrelatedness and normality, ICA is rooted in the assumption of statistical independence. Foundations and basic knowledge necessary to understand the technique are provided hereafter. Also included is a short tutorial illustrating the implementation of two ICA algorithms (FastICA and InfoMax) with the use of the Mathematica software.

Keywords