| US 7,590,292 B2 | ||
| Information-theoretic method for clustering and merging imprecise data | ||
| William Peter, Bethesda, Md. (US); and Don Lemons, Wichita, Kans. (US) | ||
| Assigned to BAE Systems Advanced Technologies, Inc., Nashua, N.H. (US) | ||
| Filed on Sep. 19, 2005, as Appl. No. 11/228,323. | ||
| Claims priority of provisional application 60/610693, filed on Sep. 17, 2004. | ||
| Prior Publication US 2006/0126945 A1, Jun. 15, 2006 | ||
| Int. Cl. G06K 9/62 (2006.01); G06K 9/36 (2006.01) | ||
| U.S. Cl. 382—225 [382/284] | 10 Claims |
| 1. An information theoretic method of clustering and merging bi-variate normal data comprising the steps of:
storing bi-variate normal data in a memory;
processing the data using a processor coupled to the memory to cluster the data into two or more error ellipses; and
further processing the data using the processor to merge the data into a single replacement error ellipse if the information
lost in the merging process is sufficiently small.
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