Welcome to bclust project! 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. The project summary page. You can find here. The project description and documentation page. You can find here.
http://bclust.r-forge.r-project.org/
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bclust | bclust.r-forge.r-project.org Reviews
https://bclust.r-forge.r-project.org
Welcome to bclust project! 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. The project summary page. You can find here. The project description and documentation page. You can find here.
bclust v1.5 | RDocumentation
http://www.rdocumentation.org/packages/bclust
GPL ( = 2). Http:/ bclust.r-forge.r-project.org/. 2015-08-27 17:25:11 UTC; rforge. Bayesian Hierarchical Clustering Using Spike and Slab Models. Bclustvs (Bayesian CLUSTering with Variable Selection) is a class. Computes the model log likelihood useful for estimation of the transformed.par. Produces teeth plot useful for demonstating a grouping on clustered subjects. Discrimination using a Bayesian linear model. A plot useful to visualise replicated data. Messerli et. al. metabolomic data.
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bclust
Welcome to bclust project! 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. The project summary page. You can find here. The project description and documentation page. You can find here.
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