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2005
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A Comparative Study of Two Density-Based Spatial Clustering Algorithms for Very Large Datasets

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A Comparative Study of Two Density-Based Spatial Clustering Algorithms for Very Large Datasets
Spatial clustering is an active research area in spatial data mining with various methods reported. In this paper, we compare two density-based methods, DBSCAN and DBRS. First, we briefly describe the methods and then compare them from a theoretical view. Finally, we give an empirical comparison of the algorithms.
Xin Wang, Howard J. Hamilton
Added 26 Jun 2010
Updated 26 Jun 2010
Type Conference
Year 2005
Where AI
Authors Xin Wang, Howard J. Hamilton
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