Publisher review:Clustering by Passing Messages - Automated clustering through messaging Simple and effective means of clustering any data for which a similarity matrix can be constructed. Does not require similarity matrix meet the standards for a metric. The algorithm applies in cases where the similarity matrix is not symmetric (the distance from point i to j can be different from j to i). And it does not require triangular equalities (e.g. the hypoteneus can be less than the sum of the other sides)usage is very simple (given an m x m similarity matrix)ex = affprop(s) returns ex, a m x 1 vector of indices, such that ex(i) is the exemplar for the ith point. see affyprop_demo for a complete example with simple 2d data. See reference for more complex examples including face matching.
Clustering by Passing Messages is a Matlab script for Statistics and Probability scripts design by Michael Boedigheimer.
It runs on following operating system: Windows / Linux / Mac OS / BSD / Solaris.
Operating system:Windows / Linux / Mac OS / BSD / Solaris
Clustering by Passing Messages script details 
