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 201 to 220 of 267.
Sorted by year (citations)

previous 1 2 3 ... 9 10 11 12 13 14 next

  1. Lian, Heng: Sparse Bayesian hierarchical modeling of high-dimensional clustering problems (2010)
  2. McNicholas, Paul D.: Model-based classification using latent Gaussian mixture models (2010)
  3. McNicholas, Paul D.; Murphy, T. Brendan: Model-based clustering of longitudinal data (2010)
  4. McNicholas, P. D.; Murphy, T. B.; McDaid, A. F.; Frost, D.: Serial and parallel implementations of model-based clustering via parsimonious Gaussian mixture models (2010)
  5. Melnykov, Volodymyr; Maitra, Ranjan: Finite mixture models and model-based clustering (2010)
  6. Montanari, Angela; Viroli, Cinzia: Heteroscedastic factor mixture analysis (2010)
  7. Murphy, Thomas Brendan; Dean, Nema; Raftery, Adrian E.: Variable selection and updating in model-based discriminant analysis for high dimensional data with food authenticity applications (2010)
  8. Viroli, Cinzia: Dimensionally reduced model-based clustering through mixtures of factor mixture analyzers (2010)
  9. Yan, Guohua; Welch, William J.; Zamar, Ruben H.: Model-based linear clustering (2010)
  10. Galimberti, Giuliano; Montanari, Angela; Viroli, Cinzia: Penalized factor mixture analysis for variable selection in clustered data (2009)
  11. Knossow, David; Sharma, Avinash; Mateus, Diana; Horaud, Radu: Inexact matching of large and sparse graphs using Laplacian eigenvectors (2009)
  12. Lee, Chih; Abdool, Ali; Huang, Chun-Hsi: PCA-based population structure inference with generic clustering algorithms (2009) ioport
  13. Lo, Kenneth; Hahne, Florian; Brinkman, Ryan R.; Gottardo, Raphael: Flowclust: a bioconductor package for automated gating of flow cytometry data (2009) ioport
  14. Maitra, Ranjan; Ramler, Ivan P.: Clustering in the presence of scatter (2009)
  15. Maugis, Cathy; Celeux, Gilles; Martin-Magniette, Marie-Laure: Variable selection for clustering with Gaussian mixture models (2009)
  16. Schwarz, Roland; Wolf, Matthias; Müller, Tobias: A probabilistic model of cell size reduction in \textitPseudo-nitzschia delicatissima (Bacillariophyta) (2009)
  17. Tatiana Benaglia; Didier Chauveau; David Hunter; Derek Young: mixtools: An R Package for Analyzing Mixture Models (2009) not zbMATH
  18. Valentin Todorov; Peter Filzmoser: An Object-Oriented Framework for Robust Multivariate Analysis (2009) not zbMATH
  19. von Borries, George; Wang, Haiyan: Partition clustering of high dimensional low sample size data based on (p)-values (2009)
  20. Cheong, My-Young; Lee, Hakbae: Determining the number of clusters in cluster analysis (2008)

previous 1 2 3 ... 9 10 11 12 13 14 next