
PGMM
 Referenced in 70 articles
[sw07981]
 Gaussian mixture models. Carries out modelbased clustering or classification using parsimonious Gaussian mixture models...

Mixmod
 Referenced in 36 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...

HDclassif
 Referenced in 15 articles
[sw11114]
 proposing a new parametrization of the Gaussian mixture model which combines the ideas of dimension...

Kaldi
 Referenced in 7 articles
[sw19844]
 context sizes, acoustic modeling with subspace Gaussian mixture models (SGMM) as well as standard Gaussian...

MixSim
 Referenced in 33 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 25 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...

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...

ESMERALDA
 Referenced in 5 articles
[sw25968]
 Markov chain (Ngramm) models, and Gaussian mixture models...

bgmm
 Referenced in 5 articles
[sw19104]
 package bgmm. bgmm: Gaussian Mixture Modeling Algorithms and the BeliefBased Mixture Modeling. Two partially...

mixture
 Referenced in 22 articles
[sw14633]
 mixture: Mixture Models for Clustering and Classification. An implementation of all 14 Gaussian parsimonious clustering...

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...

clustMD
 Referenced in 10 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...

otrimle
 Referenced in 11 articles
[sw17889]
 cluster. The data are modelled by a mixture of Gaussian distributions and a noise component...

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

parallelMCMCcombine
 Referenced in 3 articles
[sw21115]
 models including Bayesian logistic regression, Bayesian Gaussian mixture models and Bayesian hierarchical PoissonGamma models...

ClusterR
 Referenced in 2 articles
[sw31257]
 package ClusterR: Gaussian Mixture Models, KMeans, MiniBatchKmeans, KMedoids and Affinity Propagation ... Clustering. Gaussian mixture models, kmeans, minibatchkmeans, kmedoids and affinity propagation clustering...

sparseLDA
 Referenced in 5 articles
[sw10641]
 discriminant analysis for gaussians and mixture of gaussians models...

Torchvision
 Referenced in 3 articles
[sw27285]
 Neural Networks, Support Vector Machines, Gaussian Mixture Models, Hidden Markov Models and many others. Torchvision...

GMCM
 Referenced in 2 articles
[sw24057]
 Clustering and MetaAnalysis Using Gaussian Mixture Copula Models. socalled Gaussian mixture copula models...

GMMBAYES
 Referenced in 1 article
[sw14964]
 GMMBAYES  Gaussian Mixture Model Methods. Goal of this project is to study existing and develop ... methods for learning Gaussian mixture models. Furthermore, class conditional probability densities constructed by Gaussian mixture ... models and their usage in classification are considered during the project. The main practical goal ... statistical theory (e.g., Bayesian inference) and Gaussian mixture model probability densities. The ML parameter estimation...