High-Dimensional Bayesian Clustering with Variable Selection: The R Package bclust

High-Dimensional Bayesian Clustering with Variable Selection: The R Package bclust

The R package bclust is useful for clustering high-dimensional continuous data. The package uses a parametric spike-and-slab Bayesian model to downweight the effect of noise variables and to quantify the importance of each variable in agglomerative clustering. We take advantage of the existence of c...

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Bibliographic Details
Main Authors: Vahid Partovi Nia, Anthony C. Davison
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2012-04-01
Series:Journal of Statistical Software
Subjects:
agglomerative clustering
Bayesian clustering
Bayesian variable selection
dendro- gram
hierarchical clustering
R
spike-and-slab model
Online Access:http://www.jstatsoft.org/v47/i05/paper

Internet

http://www.jstatsoft.org/v47/i05/paper

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