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Using the Flow of People in Cluster Detection and Inference
Content Type: Abstract
The traditional SaTScan algorithm[1],[2] uses the euclidean dis- tance between centroids of the regions in a map to assemble a con- nected (in the sense that two connected regions share a physical border) sets of regions. According to the value of… read more… traditional SaTScan algorithm[1],[2] uses the euclidean dis- tance between centroids of the regions in a map to … regions formed according to the cri- terion of proximity due to the flow of people, the regions will be not … traditional SaTScan algorithm[1],[2] uses the euclidean dis- tance between centroids of the regions in a map to … -
Exploring Multi-Cluster Structures with the Multi-Objective Circular Scan
Content Type: Abstract
The spatial scan statistic is the usual measure of strength of a cluster [1]. Another important measure is its geometric regularity [2]. A genetic multiobjective algorithm was developed elsewhere to identify irregularly shaped clusters [3]. A search… read more… The solution presented is a Pareto-set, consisting of all the clusters found which are not simultaneously worse in … A significance evaluation is conducted in parallel for all clusters in the Pareto-set through Monte Carlo … The solution presented is a Pareto-set, consisting of all the clusters found which are not simultaneously worse in …