Efficient and Effective Clustering Methods for Spatial Data Mining

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Efficient and Effective Clustering Methods for Spatial Data Mining (1994)

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by Raymond T. Ng , Jiawei Han

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BibTeX

@INPROCEEDINGS{Ng94efficientand,
    author = {Raymond T. Ng and Jiawei Han},
    title = {Efficient and Effective Clustering Methods for Spatial Data Mining},
    booktitle = {},
    year = {1994},
    pages = {144--155}
}

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Abstract

Spatial data mining is the discovery of interesting relationships and characteristics that may exist implicitly in spatial databases. In this paper, we explore whether clustering methods have a role to play in spatial data mining. To this end, we develop a new clustering method called CLARANS which is based on randomized search. We also de- velop two spatial data mining algorithms that use CLARANS. Our analysis and experiments show that with the assistance of CLARANS, these two algorithms are very effective and can lead to discoveries that are difficult to find with current spatial data mining algorithms.

Keyphrases

spatial data mining effective clustering method interesting relationship new clustering method spatial database spatial data mining algorithm randomized search current spatial data mining algorithm use clarans

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