Multiclass discriminant mappings

Research output: Contribution to journalArticlepeer-review

15 Scopus citations


Multiclass mappings oriented to the classification of multivariate data are discussed. Parametric and nonparametric mapping criteria are used for single level (one shot) projections. A method for reducing the computation complexity of the optimization procedure is suggested. In the case of a large number of classes, a sequential mapping based on the binary tree scheme is proposed. An algorithm for interactive binary tree design is presented. It combines automated and manual composition of the groups of the classes at the nodes of the tree. An example of the application of the tree mapping is presented.

Original languageEnglish
Pages (from-to)1-18
Number of pages18
JournalSignal Processing
Issue number1
StatePublished - 1 Jan 1994


  • Pattern classification
  • classifier design
  • dimensional reduction
  • exploratory data analysis
  • mapping of multivariate data

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering


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