Principal component discriminant analysis.

  • Tom Fearn
  • Published 2008 in
    Statistical applications in genetics and…

Abstract

The approach adopted involved two-stages. First the 11205 measurements in the mass spectrometry data were reduced to 14 scores by a principal component analysis of the centered but otherwise untreated and unscaled data matrix. Then a linear classifier was derived by linear discriminant analysis using these 14 scores as inputs. This number of scores was… (More)
DOI: 10.2202/1544-6115.1350

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