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2 projects in result set.

0. DREAM: global adaptive MCMC - DiffeRential Evolution Adaptive Metropolis (DREAM). Efficient global MCMC even in high-dimensional spaces. Developed by J.A. Vrugt, C.J.F. ter Braak et al.

Development Status : 4 - Beta [Filter]
Environment : Console (Text Based) [Filter]
Intended Audience : End Users/Desktop (Now Filtering)
License : OSI Approved (Now Filtering)
Operating System : OS Independent [Filter]
Programming Language : R (Now Filtering)
Topic : Bayesian Statistics : General Model Fitting [Filter]
Topic : Machine Learning : Bayesian Methods [Filter]
Topic : Optimization : General Purpose Continuous Solvers [Filter]

Activity Percentile: 0.00

Registered: 2009-09-22 05:35

1. Thresher - Thresher is a comprehensive, statistical approach to class discovery combining PCA with hierarchical clustering. It can (1) identify outliers, (2) estimate the number of subgroups, and (3) automate the selection of metrics and linkage rules.

Development Status : 5 - Production/Stable [Filter]
Environment : Console (Text Based) [Filter]
Intended Audience : End Users/Desktop (Now Filtering)
License : OSI Approved (Now Filtering)
Natural Language : English [Filter]
Programming Language : R (Now Filtering)
Topic : Cluster Analysis : Model-based Clustering [Filter]
Topic : Cluster Analysis : Other Cluster Algorithms [Filter]

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Registered: 2014-05-08 14:18