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Fast and efficient spectral clustering

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SpectralClustering performs one of three spectral clustering algorithms (Unnormalized, Shi & Malik, Jordan & Weiss) on a given adjacency matrix. SimGraph creates such a matrix out of a given set of data and a given distance function.

The code has been optimized to be both fast and memory efficient. Please look into the files and the Readme.txt for further information.

References:
- Ulrike von Luxburg, "A Tutorial on Spectral Clustering", Statistics and Computing 17 (4), 2007

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Free download from Shareware Connection - SpectralClustering performs one of three spectral clustering algorithms

Publisher: Ingo | License: Shareware
Version: 1.0 | Size: 10 KB | Platform: Matlab, Scripts
Released Date: 25-06-2013 | Rating: 0 | Title: Fast and efficient spectral clustering

Author Url: http://wordpress.org
Program Info Url: http://wordpress.org
Download Url: http://www.mathworks.com/matlabcentral/fx_files/34412/2/Final_v1.zip

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