Clustering analysis and decision-making by ``ranks of links''
Summary: In this paper, formalism for cluster analysis, based on the ``Rank of Links''-theory, is suggested. It tackles resemble measures, cross-distance matrices, ``rank of links''-metric and some other cluster characteristics. Using these notions, an algorithm of clustering has been designed. Its application to estimation and prognosis of decision-making process shows nice workability and reliability.
scientific article; zbMATH DE number 2116000