Features + PCA first cut analysis

Feature selection criterion - ‘nn’, ‘eucl-m’, ‘maha-m’
Feature selection strategies - featself, featselb, featsellr, featselp
Classifiers -
parametric_clsf = {fisherc, ldc, qdc, nmc, loglc, nmsc, quadrc, pcldc};
advanced_clsf = {perlc, dtc};
non_parametric_clsf = {knnc, parzenc};

- Also submitting the workspace file so that I don’t need to regenerate
the workspace of images and local variables everytime I open Matlab