Clustering for Approximate Similarity Search in High-Dimensional Spaces

@article{Li2002ClusteringFA,
  title={Clustering for Approximate Similarity Search in High-Dimensional Spaces},
  author={Chen Li and Edward Y. Chang and Hector Garcia-Molina and Gio Wiederhold},
  journal={IEEE Trans. Knowl. Data Eng.},
  year={2002},
  volume={14},
  pages={792-808}
}
ÐIn this paper, we present a clustering and indexing paradigm (called Clindex) for high-dimensional search spaces. The scheme is designed for approximate similarity searches, where one would like to find many of the data points near a target point, but where one can tolerate missing a few near points. For such searches, our scheme can find near points with high recall in very few IOs and perform significantly better than other approaches. Our scheme is based on finding clusters and, then… CONTINUE READING
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