Feature extraction and dimensionality reduction by genetic programming based on the Fisher criterion
Feature extraction helps to maximize the useful information within a feature vector, by reducing the dimensionality and making the classification effective and simple. In this paper, a novel feature extraction method is proposed
feature extraction dimensionality reduction genetic programming fisher discriminant analysis pattern classification