A multiple sequential orthogonal least squares algorithm for feature ranking and subset selection

Billings, S.A. and Wei, H.L. (2005) A multiple sequential orthogonal least squares algorithm for feature ranking and subset selection. Research Report. ACSE Research Report no. 908 . Automatic Control and Systems Engineering, University of Sheffield

Abstract

Metadata

Authors/Creators:
  • Billings, S.A.
  • Wei, H.L.
Copyright, Publisher and Additional Information: The Department of Automatic Control and Systems Engineering research reports offer a forum for the research output of the academic staff and research students of the Department at the University of Sheffield. Papers are reviewed for quality and presentation by a departmental editor. However, the contents and opinions expressed remain the responsibility of the authors. Some papers in the series may have been subsequently published elsewhere and you are advised to cite the later published version in these instances.
Keywords: Dimensionality reduction, high-dimensional data analysis, subset selection, principal component analysis, orthogonal least squares.
Dates:
  • Published: October 2005
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) > ACSE Research Reports
Depositing User: Miss Anthea Tucker
Date Deposited: 21 Sep 2012 15:35
Last Modified: 10 Jun 2014 16:27
Status: Published
Publisher: Automatic Control and Systems Engineering, University of Sheffield
Series Name: ACSE Research Report no. 908

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