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11/29/2021
Model-based clustering via skewed matrix-variate cluster-weighted models
Cluster-weighted models (CWMs) extend finite mixtures of regressions (FM...
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06/16/2021
Four Skewed Tensor Distributions
With the rise of the "big data" phenomenon in recent years, data is comi...
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03/17/2021
Multivariate Cluster Weighted Models Using Skewed Distributions
Much work has been done in the area of the cluster weighted model (CWM),...
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11/18/2020
Skewed Distributions or Transformations? Modelling Skewness for a Cluster Analysis
Because of its mathematical tractability, the Gaussian mixture model hol...
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05/08/2020
Mixtures of Contaminated Matrix Variate Normal Distributions
Analysis of three-way data is becoming ever more prevalent in the litera...
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11/20/2019
Parsimonious Mixtures of Matrix Variate Bilinear Factor Analyzers
Over the years, data have become increasingly higher dimensional, which ...
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10/07/2019
Assessing and Visualizing Matrix Variate Normality
A framework for assessing the matrix variate normality of three-way data...
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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...
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03/12/2019
Flexible Clustering with a Sparse Mixture of Generalized Hyperbolic Distributions
Robust clustering of high-dimensional data is an important topic because...
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09/07/2018
Mixtures of Skewed Matrix Variate Bilinear Factor Analyzers
Clustering is the process of finding and analyzing underlying group stru...
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02/13/2018
Clustering and Semi-Supervised Classification for Clickstream Data via Mixture Models
Finite mixture models have been used for unsupervised learning for over ...
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12/22/2017
Mixtures of Matrix Variate Bilinear Factor Analyzers
Over the years data is becoming increasingly higher dimensional, which h...
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09/24/2017