research
∙
02/15/2021
One Line To Rule Them All: Generating LO-Shot Soft-Label Prototypes
Increasingly large datasets are rapidly driving up the computational cos...
share
research
∙
07/03/2019
Model-based clustering and classification using mixtures of multivariate skewed power exponential distributions
Families of mixtures of multivariate power exponential (MPE) distributio...
research
∙
11/04/2017
Mixtures of Hidden Truncation Hyperbolic Factor Analyzers
The mixture of factor analyzers model was first introduced over 20 years...
research
∙
11/03/2014
Multivariate response and parsimony for Gaussian cluster-weighted models
A family of parsimonious Gaussian cluster-weighted models is presented. ...
research
∙
04/11/2014
Model Based Clustering of High-Dimensional Binary Data
We propose a mixture of latent trait models with common slope parameters...
research
∙
02/26/2014
Robust Asymmetric Clustering
Contaminated mixture models are developed for model-based clustering of ...
research
∙
11/26/2013
A Mixture of Generalized Hyperbolic Factor Analyzers
Model-based clustering imposes a finite mixture modelling structure on d...
research
∙
07/21/2013
Mixtures of Common Skew-t Factor Analyzers
A mixture of common skew-t factor analyzers model is introduced for mode...
research
∙
06/25/2013
Constrained Optimization for a Subset of the Gaussian Parsimonious Clustering Models
The expectation-maximization (EM) algorithm is an iterative method for f...
research
∙
07/06/2012