3 papers
stat.ME2026
Mixtures of spatial factor analyzers for tensor-variate data
Hanzhang Lu, Keiran Malott, Kirsty Milligan +9
A mixture of spatial factor analyzers (MSFA) is introduced to address the challenges of clustering high-dimensional spatial data. By leveraging the underlying coordinate system, th…
stat.ME2026
Spatial Covariance Constraints for Gaussian Mixture Models
Hanzhang Lu, Keiran Malott, Venkat Suprabath Bitra +11
Although extensive research exists in spatial modeling, few studies have addressed finite mixture model-based clustering methods for spatial data. Finite mixture models, especially…
physics.med-ph2024
Haralick texture feature analysis for Monte Carlo dose distributions of permanent implant prostate brachytherapy
Iymad R. Mansour, Nelson Miksys, Luc Beaulieu +2
Purpose: Demonstrate quantitative characterization of 3D patient-specific absorbed dose distributions using Haralick texture analysis and interpret measures in terms of underlying…