Bagging tree classifiers for laser scanning images: a data- and simulation-based strategy
Artificial Intelligence in Medicine
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In this paper the influence of individual data cases in discriminant analysis, specifically in the case where an initial variable selection step precedes the analysis, is considered. Existing influence measures proposed by Fung (J. Amer. Statist. Assoc. 90 (1995) 952) in a non-selection context are extended to a selection context, and a new, more informative measure of selection influence is proposed. Application of these measures is illustrated by means of examples.