Accession Number:

ADA094726

Title:

Some General Principles for the Dual Problem to Statistical Classification.

Descriptive Note:

Technical note,

Corporate Author:

MASSACHUSETTS INST OF TECH LEXINGTON LINCOLN LAB

Personal Author(s):

Report Date:

1980-11-26

Pagination or Media Count:

28.0

Abstract:

We consider the design of decision problems which maximize the classification error for a given set of discriminants. A minimax principle is proved, which has applications in discriminant analysis and feature extraction. Author

Subject Categories:

  • Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE