Classification toolbox for MATLAB
What Classification toolbox for MATLAB is?
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), Potential Functions (Kernel Density Estimators), Support Vector Machines (SVM), Unequal class models (UNEQ) and Soft Independent Modeling of Class Analogy (SIMCA).
This is the version 5.0 of the Classification toolbox for MATLAB
Classification toolbox for MATLAB has been released by Milano Chemometrics and QSAR research Group.
Installing the toolbox
MATLAB should be installed, while the Statistics Toolbox is needed to compute some of the classification methods (Discriminant Analysis, Support Vector Machines, SIMCA, UNEQ, CART). In order to install the Classification toolbox for MATLAB, simply copy the files to a folder (e.g. "Classification toolbox for MATLAB").
Then, in order to use it, select the same folder as MATLAB current directory.
This html help provides some underlying information on classification methods (see Theory section).
If you wish to use the graphical interface, please read the corresponding section. A complete list of all the used MATLAB routines is given. An example of analysis is shown. Please, read also the license and write us if you find bugs or have comments.