1. Discovery of Interesting Spatial Regions
Objectives: Applying supervised clustering algorithms for discovery of interesting regions in spatial datasets
Example: Finding regions with very high or very low levels of poverty in the state of Wyoming using census data
Algorithms
SCEC/SRIDHCR: prototype-based algorithms
SCHG: a hierarchical, grid-based clustering method
SCDE: employs supervised density estimation techniques
SCMRG:
Measure of Interestingness
Experimental Results
searches a multi-resolution grid structure top down