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B0875
Title: Robust approaches for three-way compositional data Authors:  Maria Anna Di Palma - L Orientale (Italy)
Michele Gallo - University of Naples L'Orientale (Italy) [presenting]
Valentin Todorov - UNIDO (Austria)
Abstract: Robust alternatives for CP and Tucker3, which allow to explore multi-way data taking into account the underlying complex structure, have been proposed in the statistical literature. These algorithms modify in some way the typically used alternating least squares (ALS) procedure, in order to cope with possibly present in the data outlying observations. Furthermore these approaches have been adapted to work on compositional data. Starting from these proposals several algorithms available in R packages will be compared on simulations and examples in order to verify strengths and weaknesses of each of them.