Improving Implementation of Linear Discriminant Analysis for the High Dimension/Small Sample Size Problem

0086648 - ÚI 2008 RIV NL eng J - Článek v odborném periodiku
Duintjer Tebbens, Jurjen - Schlesinger, P.
Improving Implementation of Linear Discriminant Analysis for the High Dimension/Small Sample Size Problem.
[Vylepšení implementace lineární diskriminační analýzy pro high dimension/small sample size problem.]
Computational Statistics and Data Analysis. Roč. 52, č. 1 (2007), s. 423-437. ISSN 0167-9473. E-ISSN 1872-7352
Grant CEP: GA AV ČR 1ET400300415; GA MŠMT LC536
Výzkumný záměr: CEZ:AV0Z10300504
Klíčová slova: linear discriminant analysis * numerical aspects of FLDA * small sample size problem * dimension reduction * sparsity
Kód oboru RIV: BA - Obecná matematika
Impakt faktor: 1.029, rok: 2007

Citováno: 16

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Trvalý link: http://hdl.handle.net/11104/0148854