R package mclust: Normal Mixture Modeling for Model-Based Clustering, Classification, and Density Estimation , Normal Mixture Modeling fitted via EM algorithm for Model-Based Clustering, Classification, and Density Estimation, including Bayesian regularization.

References in zbMATH (referenced in 267 articles , 2 standard articles )

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  1. Dortet-Bernadet, Jean-Luc; Wicker, Nicolas: Model-based clustering on the unit sphere with an illustration using gene expression profiles (2008)
  2. Galimberti, Giuliano; Montanari, Angela; Viroli, Cinzia: Latent classes of objects and variable selection (2008)
  3. Guy Brock; Vasyl Pihur; Susmita Datta; Somnath Datta: clValid: An R Package for Cluster Validation (2008) not zbMATH
  4. Hennig, Christian: Dissolution point and isolation robustness: Robustness criteria for general cluster analysis methods (2008)
  5. Karakos, Damianos; Khudanpur, Sanjeev; Marchette, David J.; Papamarcou, Adrian; Priebe, Carey E.: On the minimization of concave information functionals for unsupervised classification via decision trees (2008)
  6. Kumar, Mahesh; Orlin, James B.: Scale-invariant clustering with minimum volume ellipsoids (2008)
  7. La Cruz-Mesía, Rolando De; Quintana, Fernando A.; Marshall, Guillermo: Model-based clustering for longitudinal data (2008)
  8. Nosovskiy, Gleb V.; Liu, Dongquan; Sourina, Olga: Automatic clustering and boundary detection algorithm based on adaptive influence function (2008)
  9. Venturini, Sergio; Dominici, Francesca; Parmigiani, Giovanni: Gamma shape mixtures for heavy-tailed distributions (2008)
  10. Xie, Benhuai; Pan, Wei; Shen, Xiaotong: Penalized model-based clustering (2008)
  11. Atkinson, A. C.; Riani, M.: Exploratory tools for clustering multivariate data (2007)
  12. Brun, Marcel; Sima, Chao; Hua, Jianping; Lowey, James; Carroll, Brent; Suh, Edward; Dougherty, Edward R.: Model-based evaluation of clustering validation measures (2007)
  13. Chris Fraley; Adrian Raftery: Model-based Methods of Classification: Using the mclust Software in Chemometrics (2007) not zbMATH
  14. Ciampi, Antonio; Lechevallier, Yves; Limas, Manuel Castejón; Marcos, Ana González: Hierarchical clustering of subpopulations with a dissimilarity based on the likelihood ratio statistic: Application to clustering massive data sets (2007) ioport
  15. Fraley, Chris; Raftery, Adrian E.: Bayesian regularization for normal mixture estimation and model-based clustering (2007)
  16. Galimberti, Giuliano; Soffritti, Gabriele: Model-based methods to identify multiple cluster structures in a data set (2007)
  17. Gnanadesikan, R.; Kettenring, J. R.; Maloor, Srinivas: Better alternatives to current methods of scaling and weighting data for cluster analysis (2007)
  18. Gupta, Mayetri; Ibrahim, Joseph G.: Variable selection in regression mixture modeling for the discovery of gene regulatory networks (2007)
  19. Katharine Mullen and Ivo van Stokkum: An Introduction to the ”Special Volume Spectroscopy and Chemometrics in R” (2007) not zbMATH
  20. Li, Jia; Ray, Surajit; Lindsay, Bruce G.: A nonparametric statistical approach to clustering via mode identification (2007)

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