• mclust

  • Referenced in 194 articles [sw00563]
  • Clustering, Classification, and Density Estimation , Normal Mixture Modeling fitted via EM algorithm for Model-Based...
  • flexmix

  • Referenced in 79 articles [sw06087]
  • linear models, generalized linear models and model-based clustering...
  • PGMM

  • Referenced in 60 articles [sw07981]
  • Parsimonious Gaussian mixture models. Carries out model-based clustering or classification using parsimonious Gaussian mixture...
  • Mixmod

  • Referenced in 31 articles [sw06991]
  • Model-based cluster and discriminant analysis with the MIXMOD software. The Mixture Modeling (MIXMOD) program...
  • clustvarsel

  • Referenced in 13 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...
  • mixture

  • Referenced in 11 articles [sw14633]
  • Gaussian parsimonious clustering models (GPCMs) for model-based clustering and model-based classification...
  • funHDDC

  • Referenced in 11 articles [sw11130]
  • package funHDDC: Model-based clustering in group-specific functional subspaces: Model-based clustering of time...
  • flowClust

  • Referenced in 16 articles [sw14266]
  • flowClust Bioconductor package: Robust model-based clustering using a t-mixture model with...
  • teigen

  • Referenced in 9 articles [sw07950]
  • package teigen: Model-based clustering and classification with the multivariate t-distribution. Fits multivariate...
  • 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...
  • clustMD

  • Referenced in 4 articles [sw25059]
  • Model Based Clustering for Mixed Data. Model-based clustering of mixed data (i.e. data which...
  • otrimle

  • Referenced in 5 articles [sw17889]
  • package otrimle. Robust Model-Based Clustering. Performs robust cluster analysis allowing for outliers and noise...
  • curvclust

  • Referenced in 5 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...
  • EMCluster

  • Referenced in 3 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...
  • MixGHD

  • Referenced in 4 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...
  • ClusCorr98

  • Referenced in 4 articles [sw01994]
  • extended collection of exploratory and model-based clustering techniques with in-built validation via resampling...
  • Rankcluster

  • Referenced in 4 articles [sw16101]
  • package Rankcluster. Implementation of a model-based clustering algorithm for ranking data. Multivariate rankings...
  • SelvarMix

  • Referenced in 2 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...
  • ManlyMix

  • Referenced in 2 articles [sw18006]
  • Based Clustering. The utility of this package includes finite mixture modeling and model-based clustering...
  • CoClust

  • Referenced in 3 articles [sw19990]
  • clusters; in fact, the CoClust selects them by using a criterion based ... scenarios and compare it with a model-based clustering technique. Finally, we show applications...