On the efficiency of swap-based clustering

  • Authors:
  • Pasi Fränti;Olli Virmajoki

  • Affiliations:
  • Department of Computer Science, University of Joensuu, Finland;Department of Computer Science, University of Joensuu, Finland

  • Venue:
  • ICANNGA'09 Proceedings of the 9th international conference on Adaptive and natural computing algorithms
  • Year:
  • 2009

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Abstract

Random swap-based clustering is very simple to implement and guaranteed to find the correct clustering if iterated long enough. However, its quadratic dependency on the number of clusters can be too slow in case of some data sets. Deterministic selection of the swapped prototype can speed-up the algorithm but only if the swap can be performed fast enough. In this work, we introduce an efficient implementation of the swap-based heuristic and compare its time-distortion efficiency against random and deterministic variants of the swap-based clustering, and repeated k-means.