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.
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