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dc.contributor.authorPapantoni-Kazakos, P.
dc.creatorPapantoni-Kazakos, P.
dc.date.accessioned 2007-10-31T00:57:54Z
dc.date.available 2007-10-31T00:57:54Z
dc.date.issued 1976-11-20
dc.date.submitted 2003-07-20
dc.identifier.urihttps://hdl.handle.net/1911/20197
dc.description Tech Report
dc.description.abstract The Bhattacharyya, I-divergence, Vasershtein, variational and Levy distances are evaluated, compared and used for the reduction of n data to one feature. This reduction is obtained through a restricted linear transformation and the original data are assumed to be originating from two different jointly Gaussian classes. It is found that the Bhattacharyya, I-divergence and Vasershtein distances give the same "optimal" linear transformation that applied on the original n data result in one feature with maximum possible distance between classes. The distortion measures considered in the Vasershtein distance are |x-y| and (x-y)<sup>2</sup>. For the same distance measures and classes with equal covariances the Levy distance results in the same "optimal" linear transformation.
dc.description.sponsorship Air Force Office of Scientific Research
dc.language.iso eng
dc.subjectmeasures
distance
dc.title Some Distance Measures and Their Use in Feature Selection
dc.type Report
dc.citation.bibtexName techreport
dc.citation.journalTitle Rice University ECE Technical Report
dc.date.modified 2003-10-22
dc.subject.keywordmeasures
distance
dc.citation.volumeNumber TR7611
dc.citation.issueNumber 7611
dc.type.dcmi Text
dc.type.dcmi Text
dc.identifier.citation P. Papantoni-Kazakos, "Some Distance Measures and Their Use in Feature Selection," Rice University ECE Technical Report, vol. TR7611, no. 7611, 1976.


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  • ECE Publications [1278]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students

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