swMATH ID: 19104
Software Authors: Przemyslaw Biecek; Ewa Szczurek
Description: R package bgmm. bgmm: Gaussian Mixture Modeling Algorithms and the Belief-Based Mixture Modeling. Two partially supervised mixture modeling methods: soft-label and belief-based modeling are implemented. For completeness, we equipped the package also with the functionality of unsupervised, semi- and fully supervised mixture modeling. The package can be applied also to selection of the best-fitting from a set of models with different component numbers or constraints on their structures. For detailed introduction see: Przemyslaw Biecek, Ewa Szczurek, Martin Vingron, Jerzy Tiuryn (2012), The R Package bgmm: Mixture Modeling with Uncertain Knowledge, Journal of Statistical Software <<a href=”http://dx.doi.org/10.18637/jss.v047.i03”>doi:10.18637/jss.v047.i03</a>>.
Homepage: https://cran.r-project.org/web/packages/bgmm/index.html
Source Code:  https://github.com/cran/bgmm
Dependencies: R
Keywords: CRAN; R package; Gaussian Mixture Modeling; Belief-Based Mixture Modeling; mixture modeling; Uncertain Knowledge
Related Software: mclust; R; Rmixmod; flexmix; mixtools; PGMM; TCLUST; mixture; ContaminatedMixt; CRAN Task Views; HDclassif; EMMIXskew; MixGHD; mixsmsn; Emmixuskew; teigen; CRAN; Spider; spa; phyclust
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