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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.

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

Activity Percentile: 0.00

Registered: 2014-05-08 14:18

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

Development Status : 5 - Production/Stable (Now Filtering)
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Intended Audience : Developers [Filter]
License : OSI Approved [Filter]
Natural Language : English (Now Filtering)
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Programming Language : R (Now Filtering)
Topic : Multivariate Statistics [Filter]
Topic : Regression Models [Filter]

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Registered: 2008-07-15 09:49