Finite mixture model: decompose a surface into "n" subadjacent gaussian bells. A Mathematica 7 script

Abstract

This script implements the Laplacian filter and the finite mixture approach to decompose a surface into an arbitrary number “n” of bidimensional Gaussian probability distributions. Finite misture are widely used in data mining or pattern recognition. Here, this tool in implemented to decompose an arbitrary surface f(x,y) with some peaks and shoulders. This approach can be useful to decompose any bidimensional data array. For instance a bidimensional chromatogram, an excitation-emssion fluorescence spectra, a bidimensional cytogram. etc.