Clustering spatial data using random walks

@inproceedings{Harel2001ClusteringSD,
  title={Clustering spatial data using random walks},
  author={David Harel and Yehuda Koren},
  booktitle={KDD},
  year={2001}
}
Discovering significant patterns that exist implicitly in huge spatial databases is an important computational task. A common approach to this problem is to use cluster analysis. We propose a novel approach to clustering, based on the deterministic analysis of random walks on a weighted graph generated from the data. Our approach can decompose the data into arbitrarily shaped clusters of different sizes and densities, overcoming noise and outliers that may blur the natural decomposition of the… CONTINUE READING
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Clustering Spatial Data Using Random Walks

  • D. Harel, Y. Koren
  • Technical Report MCS01-08, Dept. of Computer…
  • 2001
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