An adaptation of COBWEB for symbolic data case

Marcin Pelka ()
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Marcin Pelka: Wroclaw University of Economics, Poland

Statistica, 2015, vol. 75, issue 3, 265-273

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.

Keywords: symbolic data analysis; COBWEB; conceptual clustering (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:bot:rivsta:v:75:y:2015:i:3:p:265-273

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