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Topic :: Cluster Analysis :: Model-based Clustering [Remove This Filter]
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Programming Language :: R [Remove This Filter]
2 projects in result set.
0. bclust - Bayesian clustering with variable selection is a fully automatic clustering method, designed for low-sample-size-high-dimensional situations. This might be regarded as a high-dimensional variant of the mclust package.
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- Development Status : 5 - Production/Stable [Filter]
- Environment : Console (Text Based) [Filter]
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- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English [Filter]
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- Topic : Bioinformatics : Statistics [Filter]
- Topic : Cluster Analysis : Hierarchical Clustering [Filter]
- Topic : Cluster Analysis : Model-based Clustering (Now Filtering)
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Activity Percentile: 0.00
Registered: 2009-02-18 10:01 |
1. Bayesian Biclustering - This package uses a Bayesian spike-and-slab model to construct bidendrograms using log posterior as the natural distance defined by the model and calculates importance using log Bayes factor.
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- Development Status : 4 - Beta [Filter]
- Environment : Console (Text Based) [Filter]
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- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English [Filter]
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- Operating System : Microsoft : Windows : Windows Vista [Filter]
- Operating System : POSIX : Linux [Filter]
- Programming Language : C/C\+\+ [Filter]
- Programming Language : R (Now Filtering)
- Topic : Bioinformatics : Statistics [Filter]
- Topic : Cluster Analysis : Hierarchical Clustering [Filter]
- Topic : Cluster Analysis : Model-based Clustering (Now Filtering)
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Registered: 2010-04-01 17:54 |
