Matrix factorization techniques have become pivotal in data mining, enabling the extraction of latent structures from large-scale data matrices. These methods decompose complex datasets into lower ...

Real-world compositional data sets are often complex owing to high-dimensionality, heavy tails, and the possible existence of outliers. We consider a general class of elliptical distributions to model ...