Introduction - If you have any usage issues, please Google them yourself
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) and Soft Independent Modeling of Class Analogy (SIMCA).
This is the version 3.1 of the Classification toolbox for MATLAB
Classification toolbox for MATLAB has been released by Milano Chemometrics and QSAR research Group.
Visit our website at www.disat.unimib.it/chm