Displaying results 1 - 3 of 3
-
Optimizing Simultaneously the Geometry and the Internal Cohesion of Clusters
Content Type: Abstract
Irregularly shaped cluster finders frequently end up with a solution consisting of a large zone z spreading through the map, which is merely a collection of the highest valued regions, but not a geographically sound cluster. One way… read more… for a diminished power of detection in cluster finder algorithms. Methods using those penalty functions … for a diminished power of detection in cluster finder algorithms. Methods using those penalty functions … for a diminished power of detection in cluster finder algorithms. Methods using those penalty functions … -
Mapping the uncertainty of non-contagious disease clusters boundaries in Brazil
Content Type: Abstract
The intrinsic variability that exists in the cases counting data for aggregated-area maps amounts to a corresponding uncertainty in the delineation of the most likely cluster found by methods based on the spatial scan statistics [3]. If this cluster… read more… diabetes in Minas Gerais state, Brazil. Objective Cluster finder tools like SaTScan[1] usually do not assess the … Federal University of Minas Gerais Objective Cluster finder tools like SaTScan (1) usually do not assess the … diabetes in Minas Gerais state, Brazil. Objective Cluster finder tools like SaTScan[1] usually do not assess the … -
Delineating Spatial Clusters with Artificial Neural Networks
Content Type: Abstract
Multiple or irregularly shaped spatial clusters are often found in disease or syndromic surveillance maps. We develop a novel method to delineate the contours of spatial clusters, especially when there is not a clearly dominating primary cluster,… read more… and R. J. Williams,1986. Lear- ning representations by back-propagating errors. Nature, 323:533- 536. [4] Teixeira, …