Automatic Feature Evaluator (AFE)

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00039-03-C-7063
Agency Tracking Number: N021-1067
Amount: $750,000.00
Phase: Phase II
Program: SBIR
Awards Year: 2003
Solicitation Year: N/A
Solicitation Topic Code: N/A
Solicitation Number: N/A
Small Business Information
3116 Mercer Lane, San Diego, CA, 92122
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Clifford Comisky
 senior scientist
 (619) 553-1126
Business Contact
 John Konotchick
Title: President
Phone: (858) 455-5361
Research Institution
The Automatic Feature Evaluator (AFE) Phase II program will develop a demonstration capability to show how data with different, missing, and corrupted attributes can be assembled into a decision-making process. The unit will address three areas ofconcern: clustering, the formation of some initial groupings (clusters) of measurements, each representing an object; classification, the subsequent evolution of the set of clusters as new reports come in and are assigned to clusters; and maintenance, theroutine and non-routine analysis of the cluster space to detect and correct problems. Although the algorithms are in general statistical in nature, they do not assume any particular distribution of the elements reported. The algorithms are able to dealwith measurements that are non-ideal in other ways also. They can handle elements that are discrete and even non-numeric. They can deal with reports that contain missing data, outliers, or gross errors. They can also handle multi-modal distributions andare able to track changes in the underlying distributions over time. Some of these issues are addressed on the basis of knowledge of the reports and their content, but most of the issues are addressed in general terms. This technology solves the problem ofusing very different data inputs to derive grouping and classification solutions

* Information listed above is at the time of submission. *

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