Clustering via voting maximization in matlab

The following Matlab project contains the source code and Matlab examples used for clustering via voting maximization. The goal of the proposed methods is to cluster N given points into K clusters, so that similarities between objects in the same group are high while the similarities between objects in different groups are low.

The source code and files included in this project are listed in the project files section, please make sure whether the listed source code meet your needs there.

Project Files: 

File NameSize
getAccuracy.m 1657
getError.m 3425
getVotingMatrix.m 3724
Hungarian.m 9328
iris.mat 1205
license.txt 1319
plotClustering.m 1412
readme.txt 1202
runClustering.m 1568
runClustering.m~ 1548
runCorrectClustering.m 2708
wine.mat 5531

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