DGDCT: a distributed grid-density based algorithm for intrinsic cluster detection over massive spatial data

  • Authors:
  • Sauravjyoti Sarmah;Rosy Das;Dhruba Kumar Bhattacharyya

  • Affiliations:
  • Dept. of Comp Sc & Engg., Tezpur University, Napaam, India;Dept. of Comp Sc & Engg., Tezpur University, Napaam, India;Dept. of Comp Sc & Engg., Tezpur University, Napaam, India

  • Venue:
  • ICDCN'08 Proceedings of the 9th international conference on Distributed computing and networking
  • Year:
  • 2008

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Abstract

This paper presents a distributed Grid-based Density Clustering using Triangle-subdivision (DGDCT), capable of identifying arbitrary shaped embedded clusters as well as multi density clusters over large spatial datasets. Experimental results are presented to establish the superiority of the technique in terms of scale-up, speedup as well as cluster quality.