Papa, João Paulo [UNESP]Amorim, Willian ParaguassuFalcão, Alexandre XavierTavares, João Manuel R.S.2022-05-012022-05-012015-12-15Handbook Of Pattern Recognition And Computer Vision (5th Edition), p. 109-123.http://hdl.handle.net/11449/233744Although one can find several pattern recognition techniques out there, there is still room for improvements and new approaches. In this book chapter, we revisited the Optimum-Path Forest (OPF) classifier, which has been evaluated over the last years in a number of applications that consider supervised, semi-supervised and unsupervised learning problems. We also presented a brief compilation of a number of previous works that employed OPF in different research fields, that range from remote sensing image classification to medical data analysis.109-123engRecent advances on optimum-path forest for data classification: Supervised, semi-supervised, and unsupervised learningCapítulo de livro10.1142/9789814656535_00062-s2.0-85118019426