Model-based clustering and classification with the multivariate t distribution

Simple item page
dc.contributor.authorAndrews, Jeffrey
dc.contributor.authorWickins, Jaymeson
dc.contributor.authorBoers, Nicholas
dc.contributor.authorMcNicholas, Paul
dc.date.accessioned2017-02-03
dc.date.accessioned2022-05-28T00:36:33Z
dc.date.available2022-05-28T00:36:33Z
dc.date.issued2016
dc.description.abstractPackage ‘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.extent133.93 KB
dc.format.mimetypePDF
dc.identifier.citationAndrews, 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.urihttps://hdl.handle.net/20.500.14078/684
dc.languageEnglish
dc.language.isoen
dc.rightsGeneral Public Licence (GNU GPL)
dc.subjectclassification
dc.subjectclustering
dc.subjectdiscriminant analysis
dc.subjectmixture models
dc.subjectmodel-based clustering
dc.titleModel-based clustering and classification with the multivariate t distribution
dc.typeSoftware Documentation
dspace.entity.type
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Model-based_clustering_and_classification_with-_2016_roam.pdf
Size:
133.93 KB
Format:
Adobe Portable Document Format
Description:
Download
Collections
Department of Computer Science