bgmm-package: Belief-Based Gaussian Mixture Modeling

Description Details Author(s) References See Also Examples

Description

This package implements partially supervised mixture modeling methods: soft-label and belief-based modeling, the semi-supervised methods and for completeness also unsupervised and fully supervised methods for mixture modeling.

Details

Package: bgmm
Type: Package
Version: 1.8
Date: 2017-02-22
License: GPL-3
LazyLoad: yes

For short overview see the webpage http://bgmm.molgen.mpg.de/rapBGMM/.

Author(s)

Przemyslaw Biecek \& Ewa Szczurek

Maintainer: Przemyslaw Biecek <P.Biecek@mimuw.edu.pl>

References

Przemyslaw Biecek, Ewa Szczurek, Martin Vingron, Jerzy Tiuryn (2012), The R Package bgmm: Mixture Modeling with Uncertain Knowledge, Journal of Statistical Software.

See Also

Package for unsupervised learning of Gaussian mixture model link{mclust}, methods for supervised learning link{MASS::lda()}, link{MASS::qda()}.

Examples

1
2
3
## Do not run
## It could take more than one minute
#demo(bgmm)

bgmm documentation built on Oct. 10, 2021, 5:07 p.m.