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ClusterMX 1.0.1 Beta

Company: Tinghua Huang
Date Added: October 08, 2012  |  Visits: 248

ClusterMX

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ClusterMX is developed as a CLI-based tool that is able to implement various clustering algorithms.

Among those algorithms we can find:
· K-Means clustering optimized by random walks;
· Weighted K-Means (applying force filed to the multidimensional clustering space);
· EM Clustering Algorithm;
· Multi-Model Mean Shift Clustering with Random Sampling;
· Unsupervised K-Wishart clustering.

Requirements: No special requirements
Release Date: October 08, 2012
Platforms: Windows All
Keyword: Algorithm Algorithm Implementation Cluster Cluster Algorithm Clustermx Implement Algorithm Implementation
Users rating: 0/10

License: Freeware
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