Numerical Coding of Nominal Data
Machine Learning
2017-11-13 v1
Abstract
In this paper, a novel approach for coding nominal data is proposed. For the given nominal data, a rank in a form of complex number is assigned. The proposed method does not lose any information about the attribute and brings other properties previously unknown. The approach based on these knew properties can been used for classification. The analyzed example shows that classification with the use of coded nominal data or both numerical as well as coded nominal data is more effective than the classification, which uses only numerical data.
Keywords
Cite
@article{arxiv.1601.01966,
title = {Numerical Coding of Nominal Data},
author = {Zenon Gniazdowski and Michal Grabowski},
journal= {arXiv preprint arXiv:1601.01966},
year = {2017}
}
Comments
9 pages