@ARTICLE{Różański2025:i8481,
	author="{Różański, Rafał and Kawecka, Elżbieta and Perec, Andrzej}",
	title="{Classification of the Cutting Surface Topography Using a Set of Uncorrelated Parameters with High Discriminative Ability}",
	year="2025",
	type="artykuł naukowy",
	language="en",
	journal="{Materials}",
	issn="1996-1944",
	volume="18",
	number="13",
	pages="3131(1)--3131(25)",
	doi="10.3390/ma18133131",
	url="https://www.mdpi.com/1996-1944/18/13/3131",
	keywords="roughness; cutting; geometric structure of the surface; classification ability of parameters",
	abstract="{The paper proposes a new coefficient assessing the classification ability of parameters. In contrast to previously used indices, it does not require data normalization, examines the correlation between parameters with the highest classification ability, and determines, based on this, a complementary set that enables effective differentiation of surfaces that differ significantly. The empirical part is based on the values of 83 parameters that characterize the stereometric features of 22 surfaces created through different machining processes.}",
}
