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