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5 projects in result set.
0. 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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Registered: 2010-04-01 17:54 |
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 |
2. depmixS4 - hidden Markov model classes - Note: we have moved development over to GitHub at https://github.com/depmix/depmixS4
depmixS4 fits hidden Markov models on multi-var time series, subject to constraints on the parameters. Responses are from glm and some additional distributions; transitions can be time-dependent.
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- Topic : Multivariate Statistics : Latent Variable Approaches [Filter]
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Registered: 2008-02-27 11:12 |
3. 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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- Topic : Machine Learning : Bayesian Methods [Filter]
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Registered: 2009-02-18 09:38 |
4. 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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Registered: 2009-02-18 10:01 |
