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07/21/2023
Longitudinal Data Clustering with a Copula Kernel Mixture Model
Many common clustering methods cannot be used for clustering multivariat...
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05/25/2023
Flexible Variable Selection for Clustering and Classification
The importance of variable selection for clustering has been recognized ...
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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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04/24/2021
Matrix Normal Cluster-Weighted Models
Finite mixtures of regressions with fixed covariates are a commonly used...
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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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11/17/2020
Defying the Circadian Rhythm: Clustering Participant Telemetry in the UK Biobank Data
The UK Biobank dataset follows over 500,000 volunteers and contains a di...
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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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07/19/2019
Clustering Higher Order Data: Finite Mixtures of Multidimensional Arrays
An approach for clustering multi-way data is introduced based on a finit...
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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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07/02/2019
Using Subset Log-Likelihoods to Trim Outliers in Gaussian Mixture Models
Mixtures of Gaussian distributions are a popular choice in model-based c...
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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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01/26/2019
Clustering Discrete Valued Time Series
There is a need for the development of models that are able to account f...
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12/31/2018
Modeling Frequency and Severity of Claims with the Zero-Inflated Generalized Cluster-Weighted Models
In this paper, we propose two important extensions to cluster-weighted m...
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12/23/2018
Detecting British Columbia Coastal Rainfall Patterns by Clustering Gaussian Processes
Functional data analysis is a statistical framework where data are assum...
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10/31/2018
An Evolutionary Algorithm with Crossover and Mutation for Model-Based Clustering
The expectation-maximization (EM) algorithm is almost ubiquitous for par...
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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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07/22/2018
Finite mixtures of matrix-variate Poisson-log normal distributions for three-way count data
Three-way data structures, characterized by three entities, the units, t...
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05/10/2018
Robust Model-Based Clustering of Voting Records
We explore the possibility of discovering extreme voting patterns in the...
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04/13/2018
A Latent Gaussian Mixture Model for Clustering Longitudinal Data
Finite mixture models have become a popular tool for clustering. Amongst...
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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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11/30/2017
A Multivariate Poisson-Log Normal Mixture Model for Clustering Transcriptome Sequencing Data
High-dimensional data of discrete and skewed nature is commonly encounte...
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11/04/2017
Mixtures of Hidden Truncation Hyperbolic Factor Analyzers
The mixture of factor analyzers model was first introduced over 20 years...
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09/24/2017
On Fractionally-Supervised Classification: Weight Selection and Extension to the Multivariate t-Distribution
Recent work on fractionally-supervised classification (FSC), an approach...
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11/03/2014
Multivariate response and parsimony for Gaussian cluster-weighted models
A family of parsimonious Gaussian cluster-weighted models is presented. ...
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04/11/2014
Model Based Clustering of High-Dimensional Binary Data
We propose a mixture of latent trait models with common slope parameters...
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02/26/2014
Robust Asymmetric Clustering
Contaminated mixture models are developed for model-based clustering of ...
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12/02/2013
Families of Parsimonious Finite Mixtures of Regression Models
Finite mixtures of regression models offer a flexible framework for inve...
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11/26/2013
A Mixture of Generalized Hyperbolic Factor Analyzers
Model-based clustering imposes a finite mixture modelling structure on d...
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09/07/2013
Variational Bayes Approximations for Clustering via Mixtures of Normal Inverse Gaussian Distributions
Parameter estimation for model-based clustering using a finite mixture o...
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08/28/2013
Clustering, Classification, Discriminant Analysis, and Dimension Reduction via Generalized Hyperbolic Mixtures
A method for dimension reduction with clustering, classification, or dis...
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08/16/2013
Standardizing Interestingness Measures for Association Rules
Interestingness measures provide information that can be used to prune o...
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07/21/2013
Mixtures of Common Skew-t Factor Analyzers
A mixture of common skew-t factor analyzers model is introduced for mode...
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07/13/2013
Fractionally-Supervised Classification
Traditionally, there are three species of classification: unsupervised, ...
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06/23/2013
A Variational Approximations-DIC Rubric for Parameter Estimation and Mixture Model Selection Within a Family Setting
Mixture model-based clustering has become an increasingly popular data a...
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12/23/2012
Mixture Model Averaging for Clustering
In mixture model-based clustering applications, it is common to fit seve...
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11/27/2012
A LASSO-Penalized BIC for Mixture Model Selection
The efficacy of family-based approaches to mixture model-based clusterin...
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07/06/2012
