Significance of the control parameters of a nonparametric linear mapping procedure

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1 Scopus citations

Abstract

We describe computer-based experiments evaluating the significance of the control parameters of a mapping procedure which is an extension of most of the known linear mapping techniques. The guidelines for control parameter variations are found. By this means the number of trials needed in the search for high quality mapping is reduced to a great extent.

Original languageEnglish
Pages (from-to)637-645
Number of pages9
JournalPattern Recognition Letters
Volume14
Issue number8
DOIs
StatePublished - 1 Jan 1993

Keywords

  • Mapping of multidimensional data
  • measures of association
  • nearest neighbour technique
  • nonparametric scatter matrices

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

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