Classification and characterization of gene expression data with generalized eigenvalues

DOI10.1007/s10957-008-9496-xzbMath1182.92034OpenAlexW1972541538MaRDI QIDQ1035884

Panos M. Pardalos, Mario Rosario Guarracino, Salvatore Cuciniello

Publication date: 4 November 2009

Published in: Journal of Optimization Theory and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10957-008-9496-x

zbMATH Keywords

incremental learningfeature selectionbinary classification

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computational methods for problems pertaining to biology (92-08) Systems biology, networks (92C42)

Related Items (3)

On interval estimates of perturbations of generalized eigenvalues for diagonalizable pairs ⋮ A mixed integer programming-based global optimization framework for analyzing gene expression data ⋮ A generalized eigenvalues classifier with embedded feature selection

Uses Software

• Matlab
• M@cbeth

Cites Work

• Blind separation of sources. I: An adaptive algorithm based on neuromimetic architecture
• Incremental classification with generalized eigenvalues
• Projection pursuit
• Wrappers for feature subset selection
• A simplified neuron model as a principal component analyzer
• A Projection Pursuit Algorithm for Exploratory Data Analysis
• 10.1162/153244303322753706
• A classification method based on generalized eigenvalue problems
• Gene selection for cancer classification using support vector machines
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