Package ‘ BHC ’
نویسندگان
چکیده
December 21, 2016 Type Package Title Bayesian Hierarchical Clustering Version 1.26.0 Date 2011-09-07 Author Rich Savage, Emma Cooke, Robert Darkins, Yang Xu Maintainer Rich Savage Description The method performs bottom-up hierarchical clustering, using a Dirichlet Process (infinite mixture) to model uncertainty in the data and Bayesian model selection to decide at each step which clusters to merge. This avoids several limitations of traditional methods, for example how many clusters there should be and how to choose a principled distance metric. This implementation accepts multinomial (i.e. discrete, with 2+ categories) or time-series data. This version also includes a randomised algorithm which is more efficient for larger data sets. License GPL-3 biocViews Microarray, Clustering NeedsCompilation yes
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