• mclust

  • Referenced in 312 articles [sw00563]
  • algorithm for Model-Based Clustering, Classification, and Density Estimation, including Bayesian regularization...
  • PReMiuM

  • Referenced in 13 articles [sw14746]
  • package PReMiuM: Dirichlet Process Bayesian Clustering, Profile Regression. Bayesian clustering using a Dirichlet process mixture...
  • PyClone

  • Referenced in 11 articles [sw26928]
  • structures in cancers. PyClone is a Bayesian clustering method for grouping sets of deeply sequenced...
  • latentnet

  • Referenced in 21 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 38 articles [sw07794]
  • penalization implicit in Bayesian and likelihood analyses, and parallel computation using cluster computers. We discuss...
  • AutoClass

  • Referenced in 70 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 72 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...
  • mcclust

  • Referenced in 2 articles [sw26853]
  • MCMC output of a Bayesian clustering model. Among them are methods that find a single...
  • 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...
  • BNPMIXcluster

  • Referenced in 2 articles [sw18028]
  • package BNPMIXcluster. Bayesian Nonparametric Model for Clustering with Mixed Scale Variables. Bayesian nonparametric approach...
  • fabMix

  • Referenced in 4 articles [sw32111]
  • package fabMix: Overfitting Bayesian Mixtures of Factor Analyzers with Parsimonious Covariance and Unknown Number ... Components. Model-based clustering of multivariate continuous data using Bayesian mixtures of factor analyzers (Papastamoulis ... /j.csda.2018.03.007>). The number of clusters is estimated using overfitting mixture models (Rousseau and Mengersen ... parsimonious representations of the covariance per cluster (following Mc Nicholas and Murphy...
  • BayesBinMix

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

  • Referenced in 12 articles [sw14413]
  • inference in Bayesian networks and kernel-based methods for classification, regression, clustering, anomaly detection...
  • mixdir

  • Referenced in 1 article [sw40882]
  • Cluster High Dimensional Categorical Datasets. Scalable Bayesian clustering of categorical datasets. The package implements...
  • salso

  • Referenced in 1 article [sw40219]
  • Search Algorithms and Loss Functions for Bayesian Clustering. The SALSO algorithm is an efficient randomized...
  • IMIFA

  • Referenced in 3 articles [sw20290]
  • Bayesian estimation of Infinite Mixtures of Infinite Factor Analysers and related models, for nonparametrically clustering ... /abs/1701.07010”>arXiv:1701.07010>. The IMIFA model conducts Bayesian nonparametric model-based clustering with factor analytic covariance structures...