Clustering by Passing Messages 1.0

Operating systemsOS : Windows / Linux / Mac OS / BSD / Solaris
Program licensingScript Licensing : Freeware
CreatedCreated : Sep 17, 2007
Size downloadDownloads : 1
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Simple and effective means of clustering any data for ...

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 1.0 scripting tags: matrix, matlab, require, matlab clustering, statistics probability, passing, messages, data, clustering passing messages, point, similarity. What is new in Clustering by Passing Messages 1.0 software script? - Unable to find Clustering by Passing Messages 1.0 news. What is improvements are expecting? Newly-made Clustering by Passing Messages 1.1 will be downloaded from here. You may download directly. Please write the reviews of the Clustering by Passing Messages. License limitations are unspecified.