Literature DB >> 7020519

Numerical evaluation of cytologic data. VIII. Computation of the principal components.

P H Bartels.   

Abstract

The principal components transformation offers an effective methods for dimensionality reduction and for the assessment of the mutual dependence of observed variables in a data set. An iterative procedure, the so-called power method, for finding a multivariate distribution's eigenvectors and eigenvalues is demonstrated. The projection of feature vectors onto the principal components is shown.

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Year:  1981        PMID： 7020519

Source DB:  PubMed          Journal:  Anal Quant Cytol        ISSN： 0190-0471


  5 in total

1.  Unrestricted principal components analysis of brain electrical activity: issues of data dimensionality, artifact, and utility.

Authors:  F H Duffy; K Jones; P Bartels; G McAnulty; M Albert
Journal:  Brain Topogr       Date:  1992       Impact factor: 3.020

Review 2.  Quantified neurophysiology with mapping: statistical inference, exploratory and confirmatory data analysis.

Authors:  F H Duffy; K Jones; P Bartels; M Albert; G B McAnulty; H Als
Journal:  Brain Topogr       Date:  1990       Impact factor: 3.020

3.  Brain electrical correlates of psychological measures: strategies and problems.

Authors:  F H Duffy; G B McAnulty; K Jones; H Als; M Albert
Journal:  Brain Topogr       Date:  1993       Impact factor: 3.020

4.  The frequency modulated auditory evoked response (FMAER), a technical advance for study of childhood language disorders: cortical source localization and selected case studies.

Authors:  Frank H Duffy; Yaman Z Eksioglu; Alexander Rotenberg; Joseph R Madsen; Aditi Shankardass; Heidelise Als
Journal:  BMC Neurol       Date:  2013-01-25       Impact factor: 2.474

5.  Neurophysiological differences between patients clinically at high risk for schizophrenia and neurotypical controls--first steps in development of a biomarker.

Authors:  Frank H Duffy; Eugene D'Angelo; Alexander Rotenberg; Joseph Gonzalez-Heydrich
Journal:  BMC Med       Date:  2015-11-02       Impact factor: 8.775
  5 in total

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