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 )

Showing results 241 to 260 of 267.
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  1. Shioda, Romy; Tunçel, Levent: Clustering via minimum volume ellipsoids (2007)
  2. Zhang, Ping; Serban, Nicoleta: Discovery, visualization and performance analysis of enterprise workflow (2007)
  3. Dean, Nema; Murphy, Thomas Brendan; Downey, Gerard: Using unlabelled data to update classification rules with applications in food authenticity studies (2006)
  4. Huh, Moon Y.: Subset selection algorithm based on mutual information (2006)
  5. Ji, Yuan; Tsui, Kam-Wah; Kim, Kyungmann: A two-stage empirical Bayes method for identifying differentially expressed genes (2006)
  6. Qiu, Weiliang; Joe, Harry: Separation index and partial membership for clustering (2006)
  7. Quintana, Fernando A.: A predictive view of Bayesian clustering (2006)
  8. Daumé, Hal III; Marcu, Daniel: A Bayesian model for supervised clustering with the Dirichlet process prior (2005)
  9. Everitt, Brian: An R and S-PLUS companion to multivariate analysis. (2005)
  10. Kurt Hornik: A CLUE for CLUster Ensembles (2005) not zbMATH
  11. Moustaki, Irini; Papageorgiou, Ioulia: Latent class models for mixed variables with applications in archaeometry (2005)
  12. Friedrich Leisch: FlexMix: A General Framework for Finite Mixture Models and Latent Class Regression in R (2004) not zbMATH
  13. Pfeifer, Christian: Classification of longitudinal profiles based on semi-parametric regression with mixed effects (2004)
  14. Wehrens, Ron; Buydens, Lutgarde M. C.; Fraley, Chris; Raftery, Adrian E.: Model-based clustering for image segmentation and large datasets via sampling (2004)
  15. Agusta, Yudi; Dowe, David L.: Unsupervised learning of correlated multivariate Gaussian mixture models using MML (2003)
  16. Baragona, Roberto; Battaglia, Francesco: Multivariate mixture models estimation: a genetic algorithm approach (2003)
  17. Domany, Eytan: Cluster analysis of gene expression data (2003)
  18. Fraley, Chris; Raftery, Adrian E.: Enhanced model-based clustering, density estimation, and discriminant analysis software:\newlineMCLUST (2003)
  19. Hardin, Johanna; Rocke, David M.: Outlier detection in the multiple cluster setting using the minimum covariance determinant estimator (2003)
  20. Li, Tao; Zhu, Shenghuo; Ogihara, Mitsunori: Algorithms for clustering high dimensional and distributed data (2003)

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