This package contains Matlab m-files for learning finite Gaussian mixtures from sample data and performing data classification with Mahalanobis distance or Bayesian classifiers. Each class in training set is learned individually with one of the three

Using MATLAB dynamic clustering or iterative self-organizing data analysis, BP neural network function fitting and pattern recognition, ECG data and includes source code written in MATLAB.

Can realize the two-dimensional data clustering, Genetic algorithms using MATLAB path planning, Energy entropy calculation.