A Survey on Clustering Algorithms for Data in Spatial Database Management Systems

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Provided by: International Journal of Computer Applications
Topic: Data Management
Format: PDF
Clustering is an essential task in data mining to group data into meaningful subsets to retrieve information from a given dataset of Spatial Data Base Management System (SDBMS). The information thus retrieved from the SDBMS helps to detect urban activity centers for consumer applications. Clustering algorithms group the data objects into clusters wherein the objects within a cluster are more similar to each other and are more dissimilar to objects in other clusters. Query processing is a data mining operation of SDBMS to retrieve the required information for consumer applications.
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