Numerical Coding of Nominal Data

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.

• Publication year

  2016

• Venue

  arXiv: Machine Learning

• Publication date

  2016-01-08

• Fields of study

  Mathematics, Computer Science

• Identifiers
  DOI 10.26348/znwwsi.12.53arXiv 1601.01966
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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