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WaveCluster: A Multi-Resolution Clustering Approach for Very Large Spatial Databases
1998
Very Large Data Bases Conference
Many applications require the management of spatial data. Clustering large spatial databases is an important problem which tries to find the densely populated regions in the feature space to be used in data mining, knowledge discovery, or efficient information retrieval. A good clustering approach should be efficient and detect clusters of arbitrary shape. It must be insensitive to the outliers (noise) and the order of input data. We propose WaveCluster, a novel clustering approach based on
dblp:conf/vldb/SheikholeslamiCZ98
fatcat:7bbggiidjjgglg6gzbfv34cxdm