A Wavelet Based Clustering Approach for Spatial Data in Very Large Databases. A Wavelet Based Clustering Approach for Spatial Data in Very Large Databases.
Many applications require the management of spatial data in a multidimensional feature space.
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. We propose WaveCluster , a novel clustering approach based on wavelet transforms, which satisfies all the above requirements. Using the multiresolution property of wavelet transforms, we can effectively identify arbitrarily shaped clusters at different degrees of detail. We also demonstrate that WaveCluster is highly efficient in terms of time complexity.