Concepts in conceptual clustering

  • Authors:
  • Robert E. Stepp

  • Affiliations:
  • Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL

  • Venue:
  • IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 1
  • Year:
  • 1987

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Abstract

Although it has a relatively short history, conceptual clustering is an especially active area of research in machine learning. There are a variety of ways in which conceptual patterns (the AI contribution to clustering) play a role in the clustering process. Two distinct conceptual clustering paradigms (conceptual sorting of exemplars and concept discovery) are described briefly. Then six types of conceptual clustering algorithms are characterized, attempting to cover the present spectrum of mechanisms used to conceptualize the clustering process.