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2 projects in result set.
0. 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. | |
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Activity Percentile: 0.00 Registered: 2014-05-08 14:18 |
1. 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. | |
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Activity Percentile: 0.00 Registered: 2009-09-22 05:35 |