9.5 Spatial Clustering
Spatial clustering returns cluster geometries for a layer of data. An example of spatial clustering is the clustering of crime location data.
The SDO_SAM.SPATIAL_CLUSTERS function, documented in SDO_SAM Package (Spatial Analysis and Mining), performs spatial clustering. This function requires a spatial R-tree index on the geometry column of the layer, and it returns a set of SDO_REGION objects where the geometry column specifies the boundary of each cluster and the geometry_key
value is set to null.
You can use the SDO_SAM.BIN_GEOMETRY function, with the returned spatial clusters in the bin table, to identify the cluster to which a geometry belongs.
Parent topic: Spatial Analysis and Mining