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Topic :: Cluster Analysis :: Model-based Clustering [Remove This Filter]
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3 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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- Development Status : 5 - Production/Stable [Filter]
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- License : OSI Approved [Filter]
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- Topic : Cluster Analysis : Model-based Clustering (Now Filtering)
- Topic : Cluster Analysis : Other Cluster Algorithms [Filter]
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Registered: 2014-05-08 14:18 |
1. 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]
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- License : OSI Approved : GNU General Public License (GPL) [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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Registered: 2009-02-18 10:01 |
2. labeltodendro - This package converts labels to a dendrogram and can be used to summarize groupings achieved by Markov chain Monte Carlo clustering.
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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]
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- Programming Language : C/C\+\+ [Filter]
- Programming Language : R (Now Filtering)
- Topic : Bioinformatics : Visualization [Filter]
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- Topic : Machine Learning : Bayesian Methods [Filter]
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Registered: 2009-02-18 09:38 |
