Rmixmod
R package Rmixmod: An Interface for MIXMOD. A collection of functions designed to run supervised and unsupervised classification with MIXture MODelling.
Keywords for this software
References in zbMATH (referenced in 26 articles , 1 standard article )
Showing results 1 to 20 of 26.
Sorted by year (- Etienne Côme, Nicolas Jouvin : greed: An R Package for Model-Based Clustering by Greedy Maximization of the Integrated Classification Likelihood (2022) arXiv
- Khouja, Rima; Mattei, Pierre-Alexandre; Mourrain, Bernard: Tensor decomposition for learning Gaussian mixtures from moments (2022)
- Biernacki, Christophe; Marbac, Matthieu; Vandewalle, Vincent: Gaussian-based visualization of Gaussian and non-Gaussian-based clustering (2021)
- Cristina Tortora, Ryan P. Browne, Aisha ElSherbiny, Brian C. Franczak, Paul D. McNicholas: Model-Based Clustering, Classification, and Discriminant Analysis Using the Generalized Hyperbolic Distribution: MixGHD R package (2021) not zbMATH
- Radojičić, Una; Nordhausen, Klaus; Virta, Joni: Large-sample properties of unsupervised estimation of the linear discriminant using projection pursuit (2021)
- Giordani, Paolo; Ferraro, Maria Brigida; Martella, Francesca: An introduction to clustering with R (2020)
- Murphy, Keefe; Murphy, Thomas Brendan: Gaussian parsimonious clustering models with covariates and a noise component (2020)
- Biernacki, Christophe; Lourme, Alexandre: Unifying data units and models in (co-)clustering (2019)
- Celeux, Gilles; Maugis-Rabusseau, Cathy; Sedki, Mohammed: Variable selection in model-based clustering and discriminant analysis with a regularization approach (2019)
- Alexander Foss; Marianthi Markatou: kamila: Clustering Mixed-Type Data in R and Hadoop (2018) not zbMATH
- Fop, Michael; Murphy, Thomas Brendan: Variable selection methods for model-based clustering (2018)
- Jeffrey Andrews; Jaymeson Wickins; Nicholas Boers; Paul McNicholas: teigen: An R Package for Model-Based Clustering and Classification via the Multivariate t Distribution (2018) not zbMATH
- Dang, Utkarsh J.; Punzo, Antonio; McNicholas, Paul D.; Ingrassia, Salvatore; Browne, Ryan P.: Multivariate response and parsimony for Gaussian cluster-weighted models (2017)
- Śmieja, Marek; Geiger, Bernhard C.: Semi-supervised cross-entropy clustering with information bottleneck constraint (2017)
- Antonio Punzo, Angelo Mazza, Paul D. McNicholas: ContaminatedMixt: An R Package for Fitting Parsimonious Mixtures of Multivariate Contaminated Normal Distributions (2016) arXiv
- Marbac, Matthieu; Biernacki, Christophe; Vandewalle, Vincent: Latent class model with conditional dependency per modes to cluster categorical data (2016)
- Michael, Semhar; Melnykov, Volodymyr: An effective strategy for initializing the EM algorithm in finite mixture models (2016)
- Punzo, Antonio; McNicholas, Paul D.: Parsimonious mixtures of multivariate contaminated normal distributions (2016)
- Baudry, Jean-Patrick; Cardoso, Margarida; Celeux, Gilles; Amorim, Maria José; Ferreira, Ana Sousa: Enhancing the selection of a model-based clustering with external categorical variables (2015)
- Dang, Utkarsh J.; Browne, Ryan P.; McNicholas, Paul D.: Mixtures of multivariate power exponential distributions (2015)