32 citations · 90 across the 17 of their papers we have counts for
3 papers · 1 filter
Mixtures of Skewed Matrix Variate Bilinear Factor Analyzers
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. Although such tech…
Parameter-wise co-clustering for high-dimensional data
M. P. B. Gallaugher, C. Biernacki, P. D. McNicholas
In recent years, data dimensionality has increasingly become a concern, leading to many parameter and dimension reduction techniques being proposed in the literature. A parameter-w…
Clustering and Semi-Supervised Classification for Clickstream Data via Mixture Models
Michael P. B. Gallaugher, Paul D. McNicholas
Finite mixture models have been used for unsupervised learning for some time, and their use within the semi-supervised paradigm is becoming more commonplace. Clickstream data is on…