Using discriminant analysis for multi-class classification

Tao Li, Shenghuo Zhu, Mitsunori Ogihara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

27 Scopus citations

Abstract

Discriminant analysis is known to learn discriminative feature transformations. This paper studies its use in multi-class classification problems. The performance is tested on a large collection of benchmark datasets.

Original languageEnglish (US)
Title of host publicationProceedings - 3rd IEEE International Conference on Data Mining, ICDM 2003
Pages589-592
Number of pages4
StatePublished - Dec 1 2003
Externally publishedYes
Event3rd IEEE International Conference on Data Mining, ICDM '03 - Melbourne, FL, United States
Duration: Nov 19 2003Nov 22 2003

Publication series

NameProceedings - IEEE International Conference on Data Mining, ICDM
ISSN (Print)1550-4786

Other

Other3rd IEEE International Conference on Data Mining, ICDM '03
CountryUnited States
CityMelbourne, FL
Period11/19/0311/22/03

ASJC Scopus subject areas

  • Engineering(all)

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