4 citations · 4 across the 4 of their papers we have counts for
3 papers · 1 filter
An efficient EM algorithm for both element-wise and structural missingness in matrix-variate normal mixture models
Hanzhang Lu, Jeffrey L. Andrews, Ryan P. Browne
Matrix-variate data with missing entries arise frequently in applications where observations are naturally organized as two-dimensional arrays. Although the matrix normal distribut…
Robust model-based clustering via mixtures of multivariate pseudo-Voigt distributions
Babak F. Dehkordi, Jeffrey L. Andrews, Andrew Jirasek
We propose a multivariate extension of the pseudo-Voigt profile-a weighted convex combination of Gaussian and Cauchy distributions-within a finite mixture modeling framework for ro…
Nonnegative Matrix Factorization with Group and Basis Restrictions
Phillip Shreeves, Jeffrey L. Andrews, Xinchen Deng +2
Nonnegative matrix factorization (NMF) is a popular method used to reduce dimensionality in data sets whose elements are nonnegative. It does so by decomposing the data set of inte…