engLozano, M.Sánchez, JS.Pla, F.Using the Geometrical Distribution of Prototypes for Training Set CondensingART-2004-75623In this paper, some new approaches to training set size reduction are presented. These schemes basically consist of defining a small number of prototypes that represent all the original instances. Although the ultimate aim of the algorithms proposed here is to obtain a strongly reduced training set, the performance is empirically evaluated over nine real datasets by comparing the reduction rate and the classification accuracy with those of other condensing techniques.2004http://zaguan.unizar.es/record/168684http://zaguan.unizar.es/record/168684oai:zaguan.unizar.es:168684Lecture Notes in Computer Science 3040 (2004), 618-627All rights reservedhttp://www.europeana.eu/rights/rr-f/info:eu-repo/semantics/openAccess