Twelve numerical, symbolic and hybrid supervised classification methods

HIGHLIGHTS

• who: Olivier Gascuel et al. from the (UNIVERSITY) have published the Article: Twelve numerical, symbolic and hybrid supervised classification methods, in the Journal: (JOURNAL)
• what: The aim of this paper, written by the French research group SYMENU, is to study these hybrid_approaches, which combine symbolic and numerical aspects. In a more general manner, the authors show that the equality of the variance-covariance matrices induces a linear discrimination. In Table 2.3, the authors provide only the statistics obtained for the case where h 1. The difference between the desired outputs and the outputs computed . . .
  

   

  

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