On a theoretical comparison between the orthonormal discriminant vector method and discriminant analysis

DOI10.1016/0031-3203(93)90183-WzbMath0798.62071OpenAlexW1977636601MaRDI QIDQ1334651

Taiho Kanaoka, Shingo Tomita, Yoshihiko Hamamoto

Publication date: 25 September 1994

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0031-3203(93)90183-w

zbMATH Keywords

performancediscriminant analysisfeature extractionorthonormalityFisher criterionODV methodorthonormal discriminant vector method

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Cites Work

• An Optimal Set of Discriminant Vectors
• Interactive Pattern Recognition: Techniques and Systems
• An Optimal Discriminant Plane
• A Criterion and an Algorithm for Grouping Data
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