Classification toolbox: new release

A new version of the Classification toolbox (for MATLAB) is now available for download. The Classification toolbox for MATLAB is a collection of MATLAB modules for calculating classification (supervised pattern recognition) multivariate models: Discriminant Analysis, Partial Least Square Discriminant Analysis (PLSDA), Classification trees (CART), K-Nearest Neighbors (kNN), class modeling Potential Functions (Kernel Density Estimators), Support Vector Machines (SVM), Unequal class models (UNEQ) and Soft Independent Modeling of Class Analogy (SIMCA). In this new release, the graphical interface has been improved. Now forms with plots can be resized and classes can be loaded both as numerical or string arrays. Have fun!