OVERVIEW OF FEATURE SELECTION METHODS USED IN MALIGNANT MELANOMA DIAGNOSTICS


Abstract

Currently, a large number of trait selection methods are used. They are becoming more and more of interest among researchers. Some of the methods are of course used more frequently. The article describes the basics of selection-based algorithms. FS methods fall into three categories: filter wrappers, embedded methods. Particular attention was paid to finding examples of applications of the described methods in the diagnosis
of skin melanoma.


Keywords

feature selection methods; filter methods; wrappers methods; embedded methods

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Published : 2021-03-31


Michalska, M. (2021). OVERVIEW OF FEATURE SELECTION METHODS USED IN MALIGNANT MELANOMA DIAGNOSTICS. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 11(1), 32-35. https://doi.org/10.35784/iapgos.2455

Magdalena Michalska  mmagamichalska@gmail.com
Lublin Univeristy of Technology, Department of Electronics and Computer Science  Poland
http://orcid.org/0000-0002-0874-3285