Max-min and max-Δ transitive resemblance matrices in classification problems
Volume 3, Issue 4 (1992), pp. 582–591
Pub. online: 1 January 1992
Type: Research Article
Published
1 January 1992
1 January 1992
Abstract
The basic properties and methods of developing max-min and max-Δ transitive approximations of resemblance matrices of observed objects are reviewed. A new algorithm of constructing max-Δ transitive closure of such matrices is presented. The conditions of applications of the max-min and max-Δ transitive measures of similarity are considered.