Multi-level clustering and reasoning about its clusters using region connection calculus

  • Authors:
  • Ickjai Lee;Mary-Anne Williams

  • Affiliations:
  • Innovation and Technology Research Laboratory, Faculty of Information Technology, University of Technology Sydney, NSW, Australia;Innovation and Technology Research Laboratory, Faculty of Information Technology, University of Technology Sydney, NSW, Australia

  • Venue:
  • PAKDD'03 Proceedings of the 7th Pacific-Asia conference on Advances in knowledge discovery and data mining
  • Year:
  • 2003

Quantified Score

Hi-index 0.00

Visualization

Abstract

Spatial clustering provides answers for "where?" and "when?" and evokes "why?" for further explorations. In this paper, we propose a divisive multi-level clustering method that requires O(n log n) time. It reveals a cluster hierarchy for the "where?" and "when?" queries. Experimental results demonstrate that it identifies quality multi-level clusters. In addition, we present a solid framework for reasoning about multi-level clusters using Region Connection Calculus for the "why?" query. In this framework, we can derive their possible causes and positive associations between them with ease.