The Optimum-Path Forest (OPF) classifier was first published in 2008 in its supervised and unsupervised versions with applications in medicine and image classification. Since then, it has expanded to a variety of other applications such as remote sensing, electrical and petroleum engineering, and biology. In recent years, multi-label and semi-supervised versions were also developed to handle video classification problems. The book presents the principles, algorithms and applications of Optimum-Path Forest, giving the theory and state-of-the-art as well as insights into future directions. – Presents the first book on Optimum-path Forest- Shows how it can be used with Deep Learning- Gives a wide range of applications- Includes the methods, underlying theory and applications of Optimum-Path Forest (OPF)
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