Bayes Optimality in Linear Discriminant Analysis - Hamsici, O.C.; Martinez, A.M. (IEEE transactions on pattern analysis and machine intelligence, 2008)
Keywords: Algorithms; Applied sciences; Approximation algorithms; Artificial Intelligence; Bayes optimal; Bayes Theorem; Bayesian analysis; Classification algorithms; Computer science; control theory; systems; Computer Simulation; convex optimization; Costs; data mining; Data processing. List processing. Character string processing; data visualization; Discriminant Analysis; Error functions; Exact sciences and technology; feature extraction; Gaussian distribution; Image Enhancement - methods; Image Interpretation, Computer-Assisted - methods; Information systems. Data bases; Intelligence; Iterative algorithms; Kernel; Linear approximation; Linear discriminant analysis; Linear Models; Memory organisation. Data processing; Minimization; Minimization methods; Null space; Optimization; Pattern analysis; pattern recognition; Pattern Recognition, Automated - methods; Permissible error; Reproducibility of Results; Sensitivity and Specificity; Software; Studies; feature extraction; data mining; Bayes optimal; convex optimization; Linear discriminant analysis; data visualization; pattern recognition; Validation; Discriminant analysis; Data analysis; Error function; Gaussian distribution; Minimization; Information extraction; Pattern recognition; Data mining; Convex programming; Kernel function; Vector space; Linear approximation; Data visualization; Classification; Feature extraction; Convex function; Pattern analysis; Artificial intelligence; Algorithm analysis; Pattern extraction