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Result of N Categorical Variable Regional Co-location Mining

November 11, 2008. Result of N Categorical Variable Regional Co-location Mining. Dataset, 4 class lattices: 0.3,0.4,A ï‚,B ï‚¯,C ï‚¯,D 0.2,0.3,A ï‚¯,B,Cï‚¯,Dï‚¯. As ï‚¯Pï‚. As ï‚Feï‚ Se ï‚¯. As ï‚¯Seï‚Feï‚Fï‚¯. As ï‚Fï‚. Regional Co-Location Mining Framework for q Binary Variables.

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Discovery of Interesting Spatial Regions

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

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