UNIOVISOM Toolbox Version 2.0, June 1, 2007 Copyright (c) 2007, by Grupo de Supervisión y Diagnóstico de Procesos Industriales Area de Ingeniería de Sistemas y Automática Universidad de Oviedo Contributed files may contain copyrights of their own. UniOviSOM toolbox is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program; if not, write to the Free Software Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA. MAIN FUNCTIONS Demos and examples: demo001 - A simple example of som training demo002 - A simple 3D SOM example demo_grnn_1d - Example of 1D GRNN regression demo_grnn_2d - Example of 2D GRNN regression demoresiduals - Classification of motor condition using residuals and grnn General visualization: correlationmatrix - Interactive plot of correlation matrix pdfscatter - Scatter plot with superimposed pdf plot planes - Draws 2D component planes planes3d - Draws 3D component planes plotcov - Plots 2D covariance ellipsoids plotp - Plots 2D and 3D points tablelens - Table Lens data visualization varplot - Plots variables of a data matrix in separate plots plotcolor - linear plot of x versus y using color coding for z SOM functions: activation - Activation maps generated by a given input data set of stimuli bsom - Train a SOM using the batch SOM training algorithm bproj - Backward projection with the SOM mapping fproj - Forward projection with the SOM mapping inisom - Initialize a SOM structure localcorrelation - Local correlation maps somdist - SOM distance matrix sominterp - Resample a given SOM to obtain a thinner one Function approximation: grnntra - Train a normalized RBF (GRNN) grnnsim - Simulate a normalized RBF (GRNN) from input data linreg - Linear regression SOM-based Visualization of Dynamics mloc_som - Create an mloc object and train its SOM mloc_loc - Train the local models of an mloc object mloc_planos - Draws planes of coefficients, selector variables and RMSE of mloc model mloc_sim - Simulate an mloc object mloc_compara - Compare the linear and the mloc approximations mloc_info - display mloc object info mloc_busca_valida - grid search for the best of multiple models with validation Other functions: clouddata - Generates clouds of points for testing algorithms datagrid - Generates points of an N-D grid with specified limits excar - Computes energies in frequency bands from data matrix fuzzymaps - Obtains SOM fuzzy maps interactively fcms - Fuzzy C-means algorithm for unsupervised classification getpoints - Gets 2D points from mouse clicks matdiff - Cartesian product of vector differences between two vector sets matdist - Matrix of mutual distances between two vector sets modelmaps - Gets polynomial models from data interactively parzen - Estimates joint pdf using parzen kernels rectop - Stores cartesian product of indices on an N-D grid rectopi - Generate points of a thinner rectangular N-D grid region - Interactively highlight regions in the visualization space