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Fast and efficient spectral clustering 1.0

  Date Added: April 17, 2013  |  Visits: 332

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), 2007If there are any question, I will be glad to help out. Just contact me at admin (at) airblader (dot) de

Requirements: No special requirements
Platforms: Matlab
Keyword: Files Information Luxburg Readmetxt References Spectral Tutorial Ulrike
Users rating: 0/10

License: Shareware Size: 10 KB
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