• PGMM

  • Referenced in 73 articles [sw07981]
  • Gaussian mixture models. Carries out model-based clustering or classification using parsimonious Gaussian mixture models...
  • Kaldi

  • Referenced in 17 articles [sw19844]
  • context sizes, acoustic modeling with subspace Gaussian mixture models (SGMM) as well as standard Gaussian...
  • HDclassif

  • Referenced in 19 articles [sw11114]
  • proposing a new parametrization of the Gaussian mixture model which combines the ideas of dimension...
  • Mixmod

  • Referenced in 37 articles [sw06991]
  • Mixture Modeling (MIXMOD) program fits mixture models to a given data set for the purposes ... large variety of algorithms to estimate the mixture parameters are proposed (EM, Classification EM, Stochastic ... used for multivariate Gaussian mixtures, and fourteen different Gaussian models can be distinguished according ... criteria for choosing a parsimonious model (the number of mixture components, for instance) are included...
  • MixSim

  • Referenced in 35 articles [sw07914]
  • simulating mixtures of Gaussian distributions with different levels of overlap between mixture components. Pairwise overlap ... clustering complexity of datasets simulated from mixtures. These datasets can then be used for systematic ... performance investigation of clustering and finite mixture modeling algorithms. Among other capabilities of MixSim, there ... graphical display of finite mixture models...
  • glmmAK

  • Referenced in 26 articles [sw13218]
  • distribution is specified as a penalized normal mixture are implemented. The methodology is described ... Generalized linear mixed model with a penalized Gaussian mixture as a random-effects distribution. Computational...
  • ClusterR

  • Referenced in 5 articles [sw31257]
  • package ClusterR: Gaussian Mixture Models, K-Means, Mini-Batch-Kmeans, K-Medoids and Affinity Propagation ... Clustering. Gaussian mixture models, k-means, mini-batch-kmeans, k-medoids and affinity propagation clustering...
  • Statistics Toolbox

  • Referenced in 18 articles [sw10157]
  • identify key variables that impact your model with sequential feature selection, transform your data with ... nearest neighbor search, Gaussian mixtures, and hidden Markov models...
  • mixture

  • Referenced in 31 articles [sw14633]
  • mixture: Mixture Models for Clustering and Classification. An implementation of all 14 Gaussian parsimonious clustering...
  • ESMERALDA

  • Referenced in 5 articles [sw25968]
  • Markov chain (N-gramm) models, and Gaussian mixture models...
  • clustMD

  • Referenced in 13 articles [sw25059]
  • clustMD: Model Based Clustering for Mixed Data. Model-based clustering of mixed data (i.e. data ... variables) using a parsimonious mixture of latent Gaussian variable models...
  • bgmm

  • Referenced in 5 articles [sw19104]
  • package bgmm. bgmm: Gaussian Mixture Modeling Algorithms and the Belief-Based Mixture Modeling. Two partially...
  • bayest

  • Referenced in 5 articles [sw33317]
  • Markov Chain Monte Carlo in Gaussian Mixture Models. Provides an Markov-Chain-Monte-Carlo algorithm ... based on a two-component Gaussian mixture and approximates the posterior distributions of the effect...
  • Torchvision

  • Referenced in 5 articles [sw27285]
  • Neural Networks, Support Vector Machines, Gaussian Mixture Models, Hidden Markov Models and many others. Torchvision...
  • otrimle

  • Referenced in 13 articles [sw17889]
  • cluster. The data are modelled by a mixture of Gaussian distributions and a noise component...
  • EMCluster

  • Referenced in 6 articles [sw24496]
  • EMCluster: EM Algorithm for Model-Based Clustering of Finite Mixture Gaussian Distribution. EM algorithms ... efficient initialization methods for model-based clustering of finite mixture Gaussian distribution with unstructured dispersion...
  • TransG

  • Referenced in 4 articles [sw34443]
  • TransG : A Generative Mixture Model for Knowledge Graph Embedding. Recently, knowledge graph embedding, which projects ... corresponding triples, and proposes a novel Gaussian mixture model for embedding, TransG. The new model...
  • bayesmix

  • Referenced in 7 articles [sw23613]
  • JAGS. The fitting of finite mixture models of univariate Gaussian distributions using JAGS within...
  • GaussianMixtures

  • Referenced in 2 articles [sw32979]
  • GaussianMixtures: A Julia package for Gaussian Mixture Models (GMMs). This package contains support for Gaussian ... Mixture Models. Basic training, likelihood calculation, model adaptation, and i/o are implemented. This Julia type ... deals only with normal (multivariate) distributions (a.k.a Gaussians), but it does so more efficiently, hopefully...
  • parallelMCMCcombine

  • Referenced in 3 articles [sw21115]
  • models including Bayesian logistic regression, Bayesian Gaussian mixture models and Bayesian hierarchical Poisson-Gamma models...