An adaptation of COBWEB for symbolic data case

Authors

  • Marcin Pełka Wrocław University of Economics

DOI:

https://doi.org/10.6092/issn.1973-2201/6097

Keywords:

symbolic data analysis, COBWEB, conceptual clustering

Abstract

The paper proposes an extension for well-known COBWEB algorithm for different symbolic variable types. This extension allows to apply symbolic variables for category utility evaluation. Main body of the paper presents how to adapt category utility for different symbolic variable types. Example shows an illustrative example of the proposed method.

References

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Published

2015-09-30

How to Cite

Pełka, M. (2015). An adaptation of COBWEB for symbolic data case. Statistica, 75(3), 265–273. https://doi.org/10.6092/issn.1973-2201/6097

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Section

Articles