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2 projects in result set.

0. sensitivity - A collection of functions for factor screening and global sensitivity analysis of model output.

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Registered: 2008-07-15 09:49

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.

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Registered: 2014-05-08 14:18