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Density-Based Clustering Methods

  • Clustering based on density (local cluster criterion), such as density-connected points
  • Major features:
    • Discover clusters of arbitrary shape
    • Handle noise
    • One scan
    • Need density parameters as termination condition
  • Several interesting studies:
    • DBSCAN: Ester, et al. (KDD’96)
    • OPTICS: Ankerst, et al (SIGMOD’99).
    • DENCLUE: Hinneburg & D. Keim (KDD’98)
    • CLIQUE: Agrawal, et al. (SIGMOD’98) (more grid-based)

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