Feature selection for best mean square approximation of class densities

DOI10.1016/0031-3203(79)90048-7zbMath0433.62039OpenAlexW2013955317MaRDI QIDQ1139348

Charles C. Peters

Publication date: 1979

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

Full work available at URL: http://hdl.handle.net/2060/19780022945

zbMATH Keywords

pattern recognitiondiscriminant analysisfeature selectionDevijer Bayesian distancegeneralized Fisher criteriamean square approximation of class density functionspattern class separability

Mathematics Subject Classification ID

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

Related Items (3)

Dimension reduction for predictive discrimination ⋮ Linear dimension reduction and Bayes classification with unknown population parameters ⋮ A formulation and comparison of two linear feature selection techniques applicable to statistical classification

Cites Work

• An Optimal Set of Discriminant Vectors
• Mathematical methods of feature selection in pattern recognition
• Nonlinear feature extraction with a general criterion function
• On a New Class of Bounds on Bayes Risk in Multihypothesis Pattern Recognition
• Nearest neighbor pattern classification
• On the generalized Karhunen-Loeve expansion (Corresp.)
• Application of the Karhunen-Loève Expansion to Feature Selection and Ordering
• Sufficiency and Statistical Decision Functions

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