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