Nakamura, Rodrigo Yuji Mizobe [UNESP]Clayton, Reginaldo Pereira [UNESP]Papa, João Paulo [UNESP]Falcão, Alexandre Xavier2014-05-272014-05-272011-12-01Proceedings - 24th SIBGRAPI Conference on Graphics, Patterns and Images, p. 181-188.http://hdl.handle.net/11449/72865Pattern recognition in large amount of data has been paramount in the last decade, since that is not straightforward to design interactive and real time classification systems. Very recently, the Optimum-Path Forest classifier was proposed to overcome such limitations, together with its training set pruning algorithm, which requires a parameter that has been empirically set up to date. In this paper, we propose a Harmony Search-based algorithm that can find near optimal values for that. The experimental results have showed that our algorithm is able to find proper values for the OPF pruning algorithm parameter. © 2011 IEEE.181-188engOptimum-Path ForestPattern RecognitionSupervised classificationClassification systemForest classifiersHarmony searchOptimal valuesPruning algorithmsReal timeSearch-based algorithmsTraining setsAlgorithmsClassification (of information)ForestryPattern recognitionParameter estimationInformation RetrievalTrabalho apresentado em evento10.1109/SIBGRAPI.2011.25Acesso aberto2-s2.0-848571881609039182932747194