bgmm-package: Belief-Based Gaussian Mixture Modeling

In bgmm: Gaussian Mixture Modeling Algorithms and the Belief-Based Mixture Modeling

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 <[e-mail]>

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

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

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