Statistical Packages
labeltodendro with Anthony Davison and Arpit Chaudhary
Convert labels or tables to a dendrogram. This package offers a dendrogram representation of
series of labels as especially needed in Markov Chain Monte Carlo clustering. If you have a
dendrogram in your mind you can easily put series of meaningful labels in a matrix and heights in a vector,
then convert them to a dendrogram object.
bclust with Anthony Davison
The package builds a dendrogram with log posterior as a natural distance defined by the model.
It is also capable to computing Bayesian discrimination probabilities equivalent to the implemented Bayesian clustering.
Spike-and-Slab models are adopted in a way to be able to produce an importance measure for clustering and discriminant variables.
The method works properly for data with small sample size and high dimensions and offers a fully automatic method.
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