The SDH Toolbox contains several functions to calculate and visualize
Smoothed Data Histograms. Some functions rely on functions of the
SOM Toolbox.
For details on each function try typing "
help <function>" or for
full details try "
type <function>" after installing the toolbox,
in the Matlab environment.
The main functions of the SDH Toolbox are:
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Calculation
The function to calculate SDHs is "sdh_calculate".
The main parameters are method and spread. The following methods
are implemented k-Nearest Neighbor "knn" where the spread (=k) closest model
vectors are voted for. Furthermore, two ranking methods are implemented, namely "1/n" and
"ranking". With "1/n" the spread nearest model vectors are ranked and
the votes are weighted as "1/n" where "n" is the rank. The "ranking"
method directly uses the weighting "-n".
The function returns a data structure which includes the parameters used and the SDH matrix for visualization.
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Visualization
The function to visualize SDHs is "sdh_visualize".
The interpolation type can be set, a grid can be added, the SDH can be visualized
using contours or, for example, the islands metaphor. Furthermore, it is possible to plot labels oo the map.
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Demonstrations
To demonstrate the usage and some of the possibilities a
few demonstrations are supplied with the toolbox. The functions are
"sdh_demo1", "sdh_demo2", and "sdh_demo3". For details
on how the demonstrations call other functions use
"type <function>".
The documented demonstrations are available on this web page.
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Others
There are several functions which are used by other functions ("sdh_addframe", "sdh_colormap", "sdh_gmm_em", "sdh_gmm_em_mu", "sdh_gmm_init", "sdh_gmm_pdf", and "sdh_visualize_kmeans").
Furthermore a music dataset is supplied ("music.mat") see also www.oefai.at/~elias/music.
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