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S-SOFM Toolbox

05 Dec 2006 (Updated 15 Dec 2006)

No BSD License

A toolbox to implement Spherical Self-Organizing Feature Maps

File Information
Description	The Spherical Self-Organizing Feature Maps is a contemporary technique for data clustering and visualization. The main advantages they offer are the following: 1. Smooth training 2. Implementation in arbitrary dimension without additional computational cost. 3. Data visualization in arbitrary dimensions This toolbox contains a set of functions and a GUI which can be used to create glyphs from spherical Self-Organizing Feature Maps (SOFMs). It is freely distributable for educational and research purposes. Example: % loads the data to be visualized load henon-1024-4.mat %loads the S-SOFM structure load c4-24.mat %trains the S-SOFM [w,g,r]=trainGlyph(P,X,C,0.5,20,'plot'); % plots the S-SOFM glyph(X,r);
MATLAB release	MATLAB 7 (R14)
Zip File Content
Other Files	normal-4096-4.mat, ssofm.fig, ssofmAbout.fig, adaptGlyph.m, colorscatter.m, glyph.m, Lcurve.m, sphereneigh.m, ssofm.m, ssofmAbout.m, stdrc.m, trainGlyph.m, trig.m, updateGlyph.m, icosahedron0.jpg, icosahedron1.jpg, icosahedron2.jpg, icosahedron3.jpg, icosahedron4.jpg, c0-1.mat, c1-3.mat, c2-6.mat, c3-12.mat, c4-24.mat, henon-1024-4.mat, henon-2048-4.mat, henon-4096-4.mat, henon-ikeda-1024.mat, henon-ikeda-4096.mat, ikeda-1024-4.mat, ikeda-4096-4.mat, logistic-1024-4.mat, logistic-4096-4.mat, normal-1024-4.mat, Contents.m

Tags for This File
Everyone's Tags	fuzzy logic, glyphs, neural networks, sofm, spherical self organizing feature maps
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Updates
15 Dec 2006	name correction

Tag Activity for this File
Tag	Applied By	Date/Time
fuzzy logic	Alexandros Leontitsis	22 Oct 2008 08:51:24
neural networks	Alexandros Leontitsis	22 Oct 2008 08:51:24
spherical self organizing feature maps	Alexandros Leontitsis	22 Oct 2008 08:51:24
sofm	Alexandros Leontitsis	22 Oct 2008 08:51:24
glyphs	Alexandros Leontitsis	22 Oct 2008 08:51:24

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