bgmm: Gaussian Mixture Modeling algorithms. Including the belief-based
The bgmm package implements two partially supervised
mixture modeling methods: soft-label and belief-based modeling.
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.