Co-clustering of time-dependent data via the shape invariant model

HIGHLIGHTS

  • who: Alessandro Casa from the School of Mathematics and Statistics, Vistamilk SFI Research Centre, University College Dublin, Belfield, Dublin, Ireland have published the article: Co-clustering of Time-Dependent Data via the Shape Invariant Model, in the Journal: (JOURNAL)
  • what: The authors propose a new co-clustering methodology for grouping individuals and variables simultaneously designed to handle both functional and longitudinal data. By modelling explicitly the observed data, instead of basis expansion coefficients, the authors provide a natural description of the time evolution and facilitate cluster interpretation. Lastly, the framework the authors develop allows for . . .

     

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