13. Granular Prototyping

  1. Witold Pedrycz1,2

Published Online: 27 JAN 2005

DOI: 10.1002/0471708607.ch13

Knowledge-Based Clustering: From Data to Information Granules

Knowledge-Based Clustering: From Data to Information Granules

How to Cite

Pedrycz, W. (2005) Granular Prototyping, in Knowledge-Based Clustering: From Data to Information Granules, John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/0471708607.ch13

Author Information

  1. 1

    Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada

  2. 2

    Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

Publication History

  1. Published Online: 27 JAN 2005
  2. Published Print: 7 JAN 2005

ISBN Information

Print ISBN: 9780471469667

Online ISBN: 9780471708605

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Keywords:

  • similarity;
  • prototype granulation;
  • optimization of similarity level;
  • inverse similarity;
  • logic models

Summary

The granular aspects of clustering are presented in the setting of logic models of data and logic-driven mechanisms of forming similarities between data. The introduced optimization framework leads to the development of granular prototypes whose level of granularity reflects the level of similarity (matching) between the individual patterns.