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
|Author||Przemyslaw Biecek \& Ewa Szczurek|
|Date of publication||2017-02-27 11:44:36|
|Maintainer||Przemyslaw Biecek <[email protected]>|
|Package repository||View on CRAN|
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