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Clustering Ordinal Data Via Parsimonious Models
This review presents some parsimonious models to cluster two-way and three-way ordinal data. They are formulated has a reparameterization of a finite mixture of Gaussians that is partially observed through a discretization of its variates. Model parameters are estimated using a composite likelihood approach in order to reduce the numerical complexity ...Ranalli, Monia, Rocci, Roberto
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Colorectal cancer statistics, 2020
Ca-A Cancer Journal for Clinicians, 2020Rebecca L Siegel +2 more
exaly

