
PGMM
 Referenced in 73 articles
[sw07981]
 Gaussian mixture models. Carries out modelbased 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 randomeffects distribution. Computational...

ClusterR
 Referenced in 5 articles
[sw31257]
 package ClusterR: Gaussian Mixture Models, KMeans, MiniBatchKmeans, KMedoids and Affinity Propagation ... Clustering. Gaussian mixture models, kmeans, minibatchkmeans, kmedoids 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 (Ngramm) models, and Gaussian mixture models...

clustMD
 Referenced in 13 articles
[sw25059]
 clustMD: Model Based Clustering for Mixed Data. Modelbased 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 BeliefBased Mixture Modeling. Two partially...

bayest
 Referenced in 5 articles
[sw33317]
 Markov Chain Monte Carlo in Gaussian Mixture Models. Provides an MarkovChainMonteCarlo algorithm ... based on a twocomponent 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 ModelBased Clustering of Finite Mixture Gaussian Distribution. EM algorithms ... efficient initialization methods for modelbased 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 PoissonGamma models...