53 citations · 120 across the 17 of their papers we have counts for
4 papers · 1 filter
Estimation of Gaussian Bi-Clusters with General Block-Diagonal Covariance Matrix and Applications
Anastasiia Livochka, Ryan Browne, Sanjeena Subedi
Bi-clustering is a technique that allows for the simultaneous clustering of observations and features in a dataset. This technique is often used in bioinformatics, text mining, and…
A Bayesian approach for clustering skewed data using mixtures of multivariate normal-inverse Gaussian distributions
Yuan Fang, Dimitris Karlis, Sanjeena Subedi
Non-Gaussian mixture models are gaining increasing attention for mixture model-based clustering particularly when dealing with data that exhibit features such as skewness and heavy…
A parsimonious family of multivariate Poisson-lognormal distributions for clustering multivariate count data
Sanjeena Subedi, Ryan Browne
Multivariate count data are commonly encountered through high-throughput sequencing technologies in bioinformatics, text mining, or in sports analytics. Although the Poisson distri…
Constrained Optimization for a Subset of the Gaussian Parsimonious Clustering Models
Ryan P. Browne, Sanjeena Subedi, Paul McNicholas
The expectation-maximization (EM) algorithm is an iterative method for finding maximum likelihood estimates when data are incomplete or are treated as being incomplete. The EM algo…