128 citations · 237 across the 19 of their papers we have counts for
3 papers · 1 filter
Multiplex Dirichlet stochastic block model for clustering multidimensional compositional networks
Iuliia Promskaia, Adrian O'Hagan, Michael Fop
Network data often represent multiple types of relations, which can also denote exchanged quantities, and are typically encompassed in a weighted multiplex. Such data frequently ex…
A Dirichlet stochastic block model for composition-weighted networks
Iuliia Promskaia, Adrian O'Hagan, Michael Fop
Network data are observed in various applications where the individual entities of the system interact with or are connected to each other, and often these interactions are defined…
A consensus-constrained parsimonious Gaussian mixture model for clustering hyperspectral images
Ganesh Babu, Aoife Gowen, Michael Fop +1
The use of hyperspectral imaging to investigate food samples has grown due to the improved performance and lower cost of instrumentation. Food engineers use hyperspectral images to…