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  • mclust
  • Referenced in 272 articles [sw00563]
  • Clustering, Classification, and Density Estimation , Normal Mixture Modeling fitted via EM algorithm for Model-Based...

  • flexmix
  • Referenced in 110 articles [sw06087]
  • linear models, generalized linear models and model-based clustering...

  • PGMM
  • Referenced in 70 articles [sw07981]
  • Parsimonious Gaussian mixture models. Carries out model-based clustering or classification using parsimonious Gaussian mixture...

  • mixture
  • Referenced in 23 articles [sw14633]
  • Gaussian parsimonious clustering models (GPCMs) for model-based clustering and model-based classification...

  • Mixmod
  • Referenced in 36 articles [sw06991]
  • Model-based cluster and discriminant analysis with the MIXMOD software. The Mixture Modeling (MIXMOD) program...

  • funHDDC
  • Referenced in 21 articles [sw11130]
  • package funHDDC: Model-based clustering in group-specific functional subspaces: Model-based clustering of time...

  • clustvarsel
  • Referenced in 18 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 24 articles [sw14266]
  • flowClust Bioconductor package: Robust model-based clustering using a t-mixture model with...

  • teigen
  • Referenced in 14 articles [sw07950]
  • package teigen: Model-based clustering and classification with the multivariate t-distribution. Fits multivariate...

  • clustMD
  • Referenced in 11 articles [sw25059]
  • Model Based Clustering for Mixed Data. Model-based clustering of mixed data (i.e. data which...

  • otrimle
  • Referenced in 12 articles [sw17889]
  • package otrimle. Robust Model-Based Clustering. Performs robust cluster analysis allowing for outliers and noise...

  • MixGHD
  • Referenced in 10 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...

  • 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 5 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 4 articles [sw34571]
  • parsimonious model-based clustering. We introduce a robust clustering procedure for parsimonious model-based clustering...

  • MBCbook
  • Referenced in 4 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...

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

  • Rankcluster
  • Referenced in 6 articles [sw16101]
  • package Rankcluster. Implementation of a model-based clustering algorithm for ranking data. Multivariate rankings...

  • 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...

  • SelvarMix
  • Referenced in 3 articles [sw24498]
  • SelvarMix: Regularization for Variable Selection in Model-Based Clustering and Discriminant Analysis. Performs a regularization ... approach to variable selection in the model-based clustering and classification frameworks. First, the variables...