Surrounded by data and information in various forms we need to characterise and describe objects of our universe using some attributes of nominal or numerical type. Selection of features can be performed basing on domain knowledge, executed through dedicated approaches, driven by some particular inherent properties ofmethodologies and techniques employed, or governed by other factors or rules. This chapter presents a general and brief introduction to topics of feature selection for data and pattern recognition. Its main aim is to provide short descriptions of the chapters included in this volume.
Stańczyk, U., & Jain, L. C. (2015). Feature selection for data and pattern recognition: An introduction. Studies in Computational Intelligence, 584, 1–7. https://doi.org/10.1007/978-3-662-45620-0_1