ClusterMX

beta

The ClusterMX program implements various clustering algorithms

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Description

The ClusterMX program implements various clustering algorithms including 1) K-Means clustering optimized by random walks; 2) Weighted K-Means (applying force filed to the multidimensional clustering space); 3) EM Clustering Algorithm; 4) Multi-Model Mean Shift Clustering with Random Sampling; 5) Unsupervised K-Wishart clustering.

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Additional Project Details

User Interface

Command-line

Programming Language

C++

Registered

2011-12-17
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