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Modelling compositional data with structural zero values
Omar Alzeley, Michail Tsagris
Compositional data are positive multivariate data whose sum equals 1. A popular method to analyze such data is via log--ratio transformations, which are however not applicable when…
Non--negative matrix factorization using the \textit{R} package \textsf{nnmf}
Volkan Sevinç, Nikolas Kontemeniotis, Theodoros Perdikis +1
Non--negative matrix factorization (NMF) has become an established dimensionality reduction technique for extracting latent structures from non--negative data and has found widespr…
Model--based clustering for spherical and hyper--spherical data using elliptically symmetric distributions
Theodoros Perdikis, Nader Alharbi, Michail Tsagris
Model--based clustering for directional data data has attracted a lot of interest, but most methods utilize rotationally symmetric distributions. This paper suggests the use of ell…