• mclust

  • Referenced in 268 articles [sw00563]
  • algorithm for Model-Based 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 Dirichlet-Process Prior. Implements the clustering method ... Russell, Bray and Tavare: Bayesian clustering with the Dirichlet-process 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...
  • Dlib-ml

  • Referenced in 11 articles [sw14413]
  • inference in Bayesian networks and kernel-based 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...
  • LS-SVMlab

  • Referenced in 26 articles [sw07367]
  • into LS-SVMs 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 non-parametric clustering of genes with...
  • LibBi

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