A Multi-Resolution Clustering Approach for Very Large Spatial Databases. A Multi-Resolution Clustering Approach for Very Large Spatial Databases.
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 datamining, knowledge discovery, or efficient information retrieval. A good clustering approach should be efficient and detect clusters of arbitrary shape. We propose WaveCluster , a novel clustering approach based on wavelet transforms, which satisfies all the above requirements. Using multi- resolution property of wavelet transforms, we can effectivelyidentify arbitrary shape clusters at different degrees of accuracy. We also demonstrate that WaveCluster is highly efficient in terms of time complexity.