Classification of the Cutting Surface Topography Using a Set of Uncorrelated Parameters with High Discriminative Ability

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.