Model-based clustering and classification with the multivariate t distribution

dc.contributor.author	Andrews, Jeffrey L.
dc.contributor.author	Wickins, Jaymeson R.
dc.contributor.author	Boers, Nicholas
dc.contributor.author	McNicholas, Paul D.
dc.date.accessioned	2017-02-03
dc.date.accessioned	2022-05-28T00:36:33Z
dc.date.available	2022-05-28T00:36:33Z
dc.date.issued	2016
dc.description.abstract	Package ‘teigen’: Fits mixtures of multivariate t-distributions (with eigen-decomposed covariance structure) via the expectation conditional-maximization algorithm under a clustering or classification paradigm.
dc.format.extent	133.93 KB
dc.format.mimetype	PDF
dc.identifier.citation	Andrews, J. L. & McNicholas, P. D. (2016). Model-based clustering, classification, and discriminant analysis via mixtures of multivariate t-distributions [PDF]. Retrieved from The R Project for Statistical Computing website: https://cran.r-project.org/web/packages/teigen/teigen.pdf
dc.identifier.uri	https://hdl.handle.net/20.500.14078/684
dc.language	English
dc.language.iso	en
dc.rights	General Public Licence (GNU GPL)
dc.subject	classification
dc.subject	clustering
dc.subject	discriminant analysis
dc.subject	mixture models
dc.subject	model-based clustering
dc.title	Model-based clustering and classification with the multivariate t distribution	en
dc.type	Software Documentation
dspace.entity.type

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