Hierarchical clustering using correlation metric and spatial continuity constraint

Patent Number: 8,280,887
Issued: 10/2/2012
Official Filing: View the Complete Patent
Abstract: Large data sets are analyzed by hierarchical clustering using correlation as a similarity measure. This provides results that are superior to those obtained using a Euclidean distance similarity measure. A spatial continuity constraint may be applied in hierarchical clustering analysis of images.
Filed: 3/7/2011
Application Number: 13/42,053
Government Interests: STATEMENT OF GOVERNMENT INTEREST This invention was made with Government support under Contract No. DE-NA0003525 awarded by the United States Department of Energy/National Nuclear Security Administration. The Government has certain rights in the invention.