Dimensionality Reduction for Similarity Searching in Dynamic Databases

@inproceedings{Kanth1998DimensionalityRF,
  title={Dimensionality Reduction for Similarity Searching in Dynamic Databases},
  author={Kothuri Venkata Ravi Kanth and Divyakant Agrawal and Ambuj K. Singh},
  booktitle={SIGMOD Conference},
  year={1998}
}
Databases are increasingly being used to store multi-media objects such as maps, images, audio and video. Storage and retrieval of these objects is accomplished using multi-dimensional index structures such as R*-trees and SS-trees. As dimensionality increases, query performance in these index structures degrades. This phenomenon, generally referred to as the dimensionality curse, can be circumvented by reducing the dimensionality of the data. Such a reduction is however accompanied by a loss… CONTINUE READING
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