Nearest unlike neighbor (NUN): an aid to decision confidence estimation

Belur V. Dasarathy

doi:10.1117/12.210755

1 September 1995 Nearest unlike neighbor (NUN): an aid to decision confidence estimation

Belur V. Dasarathy

Author Affiliations +

Optical Engineering, Vol. 34, Issue 9, (September 1995). https://doi.org/10.1117/12.210755

Abstract

The concept of nearest unlike neighbor (NUN), proposed and explored previously in the design of nearest neighbor (NN) based decision systems, is further exploited in this study to develop a measure of confidence in the decisions made by NN-based decision systems. This measure of confidence, on the basis of comparison with a user-defined threshold, may be used to determine the acceptability of the decision provided by the NN-based decision system. The concepts, associated methodology, and some illustrative numerical examples using the now classical Iris data to bring out the ease of implementation and effectiveness of the proposed innovations are presented.

Citation Download Citation

Belur V. Dasarathy "Nearest unlike neighbor (NUN): an aid to decision confidence estimation," Optical Engineering 34(9), (1 September 1995). https://doi.org/10.1117/12.210755

Published: 1 September 1995

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