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

## TL;DR

This paper introduces a new coefficient to classify surface topography using uncorrelated parameters with strong discrimination ability.

## Contribution

A novel coefficient is proposed that evaluates parameter classification ability without data normalization.

## Key findings

- The new coefficient identifies uncorrelated parameters with high discriminative power.
- An empirical study used 83 parameters to analyze 22 surfaces from different machining processes.
- The method enables effective differentiation of surfaces with significant differences.

## 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.