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Topic :: Cluster Analysis :: Hierarchical Clustering [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. |
- Development Status : 5 - Production/Stable [Filter]
- Environment : Console (Text Based) (Now Filtering)
- Intended Audience : End Users/Desktop [Filter]
- 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 (Now Filtering)
- Topic : Cluster Analysis : Model-based Clustering [Filter]
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Registered: 2009-02-18 10:01 |
1. STOPS - Methods that fit nonlinear distance transformations in multidimensional scaling and trade-off the fit with structure considerations to find optimal parameters. |
- Development Status : 3 - Alpha [Filter]
- Environment : Console (Text Based) (Now Filtering)
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- Operating System : Microsoft : Windows (Now Filtering)
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- Programming Language : R (Now Filtering)
- Topic : Cluster Analysis : Hierarchical Clustering (Now Filtering)
- Topic : Multivariate Statistics : Principal Coordinates / Scaling Methods [Filter]
- Topic : Multivariate Statistics : Visualising Multivariate Data [Filter]
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Registered: 2015-02-12 00:09 |