Numerical Coding of Nominal Data
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Abstract (arXiv)
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.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). First posted on arXiv 8 Jan 2016.
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Citing papers per year: 2023: 1; 2024: 1.
2 papers.
- 2024New Approach to Clustering Random Attributes12 Dec 2024
- 2023On the Analysis of Correlation Between Nominal Data and Numerical Data3 Feb 2023