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Hierarchical clustering using correlation metric and spatial continuity constraint

United States Patent

October 2, 2012
View the Complete Patent at the US Patent & Trademark Office
Sandia National Laboratories - Visit the Intellectual Property Management and Licensing Website
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.
Stork; Christopher L. (Albuquerque, NM), Brewer; Luke N. (Marina, CA)
Sandia Corporation (Albuquerque, NM)
13/ 042,053
March 7, 2011
This invention was developed under Contract DE-AC04-94AL85000 between Sandia Corporation and the U.S. Department of Energy. The U.S. Government has certain rights in this invention.