Using Discriminant Analysis for Multi-class Classification

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

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	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

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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