
mclust
 Referenced in 268 articles
[sw00563]
 algorithm for ModelBased Clustering, Classification, and Density Estimation, including Bayesian regularization...

PReMiuM
 Referenced in 10 articles
[sw14746]
 package PReMiuM: Dirichlet Process Bayesian Clustering, Profile Regression. Bayesian clustering using a Dirichlet process mixture...

PyClone
 Referenced in 8 articles
[sw26928]
 structures in cancers. PyClone is a Bayesian clustering method for grouping sets of deeply sequenced...

latentnet
 Referenced in 18 articles
[sw10550]
 clustering of the positions developed in Handcock, Raftery, and Tantrum (2007). The package implements Bayesian ... maximum likelihood method for the latent position cluster ... model. For latent position cluster models, the package provides a Bayesian way of assessing ... thus whether or not there is any clustering (since if the preferred number of groups...

SSS
 Referenced in 31 articles
[sw07794]
 penalization implicit in Bayesian and likelihood analyses, and parallel computation using cluster computers. We discuss...

AutoClass
 Referenced in 68 articles
[sw26092]
 Bayesian Approach to Classification. We describe a Bayesian approach to the unsupervised discovery of classes ... cases, sometimes called finite mixture separation or clustering. The main difference between clustering...

bclust
 Referenced in 6 articles
[sw23381]
 package bclust: Bayesian Hierarchical Clustering Using Spike and Slab Models. Builds a dendrogram using ... waits the clustering variables. It is also capable to computing equivalent Bayesian discrimination probabilities...

DPpackage
 Referenced in 67 articles
[sw10495]
 programs for the implementation of some Bayesian nonparametric and semiparametric models in R, DPpackage. Currently ... regression data, item response data, longitudinal and clustered data using generalized linear mixed models...

AMIDST
 Referenced in 5 articles
[sw21741]
 Scaling up Bayesian variational inference using distributed computing clusters. In this paper we present ... scaling up Bayesian learning using variational methods by exploiting distributed computing clusters managed by modern...

AutoClass@IJM
 Referenced in 2 articles
[sw25643]
 freely available dedicated computer programs, and Bayesian clustering algorithms are known to be time consuming ... interface to AutoClass, a powerful unsupervised Bayesian classification system developed by the Ames Research Center ... interface; computations are then queued in our cluster server. When the clustering is completed...

DIRECT
 Referenced in 1 article
[sw09308]
 DIRECT: Bayesian Clustering of Multivariate Data Under the DirichletProcess Prior. Implements the clustering method ... Russell, Bray and Tavare: Bayesian clustering with the Dirichletprocess prior. Estimates the number...

VFML
 Referenced in 6 articles
[sw11967]
 structure belief nets (aka Bayesian networks), and for clustering. Much of this code is easy...

BayesBinMix
 Referenced in 3 articles
[sw19815]
 BayesBinMix package offers a Bayesian framework for clustering binary data with or without missing values...

mcclust
 Referenced in 1 article
[sw26853]
 MCMC output of a Bayesian clustering model. Among them are methods that find a single...

Dlibml
 Referenced in 11 articles
[sw14413]
 inference in Bayesian networks and kernelbased methods for classification, regression, clustering, anomaly detection...

BNPMIXcluster
 Referenced in 1 article
[sw18028]
 package BNPMIXcluster. Bayesian Nonparametric Model for Clustering with Mixed Scale Variables. Bayesian nonparametric approach...

BPEC
 Referenced in 1 article
[sw21018]
 BPEC: An R Package for Bayesian Phylogeographic and Ecological Clustering, BPEC is an R package ... Bayesian Phylogeographic and Ecological Clustering which allows geographical, environmental and phenotypic measurements to be combined...

LSSVMlab
 Referenced in 26 articles
[sw07367]
 into LSSVMs where needed and a Bayesian framework with three levels of inference ... Recent developments are in kernel spectral clustering, data visualization and dimensionality reduction, and survival analysis...

BUCKy
 Referenced in 7 articles
[sw23619]
 that implements Bayesian concordance analysis. The method uses a nonparametric clustering of genes with...

LibBi
 Referenced in 13 articles
[sw19384]
 software package for statespace modelling and Bayesian inference on modern computer hardware, including multi ... graphics processing units (GPUs) and distributedmemory clusters of such devices. The software parses ... models and the specialised methods developed for Bayesian inference with them. The focus...