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This document provides an overview of clustering algorithms for spatial data mining. It discusses how spatial data mining can be used to extract useful information from large spatial databases. The document outlines several common data mining tasks including classification, association, clustering, and time-series analysis. Clustering algorithms are used to group spatial data points together based on similarity, with the goal of maximizing intra-cluster similarity and minimizing inter-cluster similarity. Th

Author

shubanesh

Language

EN