Some non-standard clustering algorithms.

Abstract

Surveys the theory of fuzzy relations and partitions as it has been applied to various clustering algorithms. The structural models discussed are object and relational criterion functions, convex decompositions, numerical transitive closures, and generalized k-nearest neighbor rules. -from Author