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The ClusterMX program implements various clustering algorithms
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.
Open Metaheuristic (oMetah) is a library aimed at the conception and the rigourous testing of metaheuristics (i.e. genetic algorithms, simulated annealing, ...). The code design is separated in components : algorithms, problems and a test report generator
THIS LIBRARY IS NOT UNDER ACTIVE DEVELOPMENT (sorry).
AIMLBot (Program#) is a small, fast, standards-compliant yet easily customizable .NET dll implementation of an AIML (Artificial Intelligence Markup Language) based chatter bot. AIMLBot has been tested on both Microsoft's runtime environment and Mono.
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