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 (within Matlab) to be both fast and memory efficient. Please look into the files and the Readme.txt for further information.

Demo.m
Readme.txt
SimGraph.m
SpectralClustering.m
distEuclidean.m
generatedata
............\GenData_Ellipse.m
............\GenData_Gaussian.m
license.txt

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