Search Results for author: Michael P. B. Gallaugher

Found 4 papers, 2 papers with code

Flexible Clustering with a Sparse Mixture of Generalized Hyperbolic Distributions

no code implementations12 Mar 2019 Michael P. B. Gallaugher, Yang Tang, Paul D. McNicholas

A parametrization of the component scale matrices for the mixture of generalized hyperbolic distributions is proposed by including a penalty term in the likelihood constraining the parameters resulting in a flexible model for high dimensional data and a meaningful interpretation.

Mixtures of Skewed Matrix Variate Bilinear Factor Analyzers

1 code implementation7 Sep 2018 Michael P. B. Gallaugher, Paul D. McNicholas

In recent years, data have become increasingly higher dimensional and, therefore, an increased need has arisen for dimension reduction techniques for clustering.

Dimensionality Reduction

Clustering and Semi-Supervised Classification for Clickstream Data via Mixture Models

no code implementations13 Feb 2018 Michael P. B. Gallaugher, Paul D. McNicholas

A mixture of first-order continuous time Markov models is introduced for unsupervised and semi-supervised learning of clickstream data.

General Classification

A Mixture of Matrix Variate Bilinear Factor Analyzers

1 code implementation22 Dec 2017 Michael P. B. Gallaugher, Paul D. McNicholas

This is perhaps especially true for clustering (unsupervised classification) as well as semi-supervised and supervised classification.

Dimensionality Reduction General Classification

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