Using Discriminant Analysis for Multi-class Classification

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Third IEEE International Conference on Data Mining (ICDM'03)

Melbourne, Florida

November 19-November 22

ISBN: 0-7695-1978-4

	ASCII Text	x
	Tao Li, Shenghuo Zhu, Mitsunori Ogihara, "Using Discriminant Analysis for Multi-class Classification," Data Mining, IEEE International Conference on, pp. 589, Third IEEE International Conference on Data Mining (ICDM'03), 2003.

	BibTex	x
	@article{ 10.1109/ICDM.2003.1250984, author = {Tao Li and Shenghuo Zhu and Mitsunori Ogihara}, title = {Using Discriminant Analysis for Multi-class Classification}, journal ={Data Mining, IEEE International Conference on}, volume = {0}, year = {2003}, isbn = {0-7695-1978-4}, pages = {589}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDM.2003.1250984}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Data Mining, IEEE International Conference on TI - Using Discriminant Analysis for Multi-class Classification SN - 0-7695-1978-4 SP EP A1 - Tao Li, A1 - Shenghuo Zhu, A1 - Mitsunori Ogihara, PY - 2003 KW - null VL - 0 JA - Data Mining, IEEE International Conference on ER -

Tao Li, University of Rochester, NY

Shenghuo Zhu, Amazon.com, Inc.

Mitsunori Ogihara, University of Rochester, NY

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDM.2003.1250984

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.

Citation:

Tao Li, Shenghuo Zhu, Mitsunori Ogihara, "Using Discriminant Analysis for Multi-class Classification," icdm, pp.589, Third IEEE International Conference on Data Mining (ICDM'03), 2003

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