we would like to announce that new versions of our toolboxes for MATLAB have been released. A graphical user interface (GUI), which allows an easy model calculation and analysis of results, is provided with all the toolboxes.
The Classification toolbox for MATLAB is a collection of MATLAB modules for calculating classification (supervised pattern recognition) multivariate models.
In this new release, Backpropagation Neural Networks (BPNN) was added as classification method and the maximum number of classes that can be loaded (and modelled) has been extended to 20.
The toolbox can be downloaded here.
The Kohonen and CPANN toolbox for MATLAB is a collection of MATLAB modules for training Kohonen Maps (Self Organising Maps, SOMs) and supervised SOMs.
In this new release, the maximum number of classes that can be loaded (and modelled) has been extended to 20. Numerical results related to the position of samples in the top map and net weights have been added to the results menu.
The toolbox can be downloaded here.
The PCA toolbox for MATLAB is a collection of MATLAB modules for calculating unsupervised multivariate models (PCA, MDS and Cluster Analysis).
In this new release, the maximum number of classes that can be loaded has been extended to 20.
The toolbox can be downloaded here.
Finally, have a look to our data repository where you can freely download available data.