• mclust

• Referenced in 304 articles [sw00563]
• Clustering, Classification, and Density Estimation , Normal Mixture Modeling fitted via EM algorithm for Model-Based...

• flexmix

• Referenced in 122 articles [sw06087]
• linear models, generalized linear models and model-based clustering...

• PGMM

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

• mixture

• Referenced in 31 articles [sw14633]
• Gaussian parsimonious clustering models (GPCMs) for model-based clustering and model-based classification...

• funHDDC

• Referenced in 25 articles [sw11130]
• package funHDDC: Model-based clustering in group-specific functional subspaces: Model-based clustering of time...

• Mixmod

• Referenced in 37 articles [sw06991]
• Model-based cluster and discriminant analysis with the MIXMOD software. The Mixture Modeling (MIXMOD) program...

• clustvarsel

• Referenced in 21 articles [sw07967]
• package clustvarsel: Variable Selection for Model-Based Clustering. A function which implements variable selection methodology ... model-based clustering which allows to find the (locally) optimal subset of variables...

• flowClust

• Referenced in 25 articles [sw14266]
• flowClust Bioconductor package: Robust model-based clustering using a t-mixture model with...

• clustMD

• Referenced in 13 articles [sw25059]
• Model Based Clustering for Mixed Data. Model-based clustering of mixed data (i.e. data which...

• teigen

• Referenced in 16 articles [sw07950]
• package teigen: Model-based clustering and classification with the multivariate t-distribution. Fits multivariate...

• MBCbook

• Referenced in 11 articles [sw29892]
• MBCbook: Companion Package for the Book ”Model-Based Clustering and Classification for Data Science ... that are used in the book ”Model-Based Clustering and Classification for Data Science...

• MixGHD

• Referenced in 12 articles [sw18474]
• package MixGHD. Model Based Clustering, Classification and Discriminant Analysis Using the Mixture ... Generalized Hyperbolic Distributions. Carries out model-based clustering, classification and discriminant analysis using five different...

• otrimle

• Referenced in 13 articles [sw17889]
• package otrimle. Robust Model-Based Clustering. Performs robust cluster analysis allowing for outliers and noise...

• EMCluster

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

• MixMoGenD

• Referenced in 6 articles [sw08624]
• Variable selection in model-based clustering using multilocus genotype data. We propose a variable selection ... procedure in model-based clustering using multilocus genotype data. Indeed, it may happen that some...

• mtclust

• Referenced in 5 articles [sw34571]
• parsimonious model-based clustering. We introduce a robust clustering procedure for parsimonious model-based clustering...

• Rankcluster

• Referenced in 7 articles [sw16101]
• package Rankcluster. Implementation of a model-based clustering algorithm for ranking data. Multivariate rankings...

• VarSelLCM

• Referenced in 6 articles [sw15183]
• VarSelLCM: Variable Selection for Model-Based Clustering using the Integrated Complete-Data Likelihood...

• curvclust

• Referenced in 6 articles [sw07435]
• presence of interindividual variability. Curve clustering has longly been studied especially using splines to account ... model irregular curves such as peak-like data. Our method is based on a wavelet ... propose an efficient dimension reduction step based on wavelet thresholding adapted to multiple curves ... that can be used for a model-based clustering algorithm and for which we develop...

• cntclust

• Referenced in 3 articles [sw40587]
• Robust model-based clustering with mild and gross outliers. We propose a model-based clustering...