Review of Spatial Clustering Methods

Provided by: The World
Topic: Data Management
Format: PDF
Spatial clustering can be defined as the process of grouping object with certain dimensions into groups such that objects within a group exhibits similar characteristics when compared to those which are in the other groups. It is an important part of spatial data mining since it provides certain insights into the distribution of data and characteristics of spatial clusters. Spatial clustering methods are mainly categorized into four: hierarchical, partitional, density based and grid based. All those categorizations are based on the specific criteria used in grouping similar objects.

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