The task of clusterization is considered for a case, when the coordinates of centers of clusters and objects of grouping are certain fuzzy variables with the set membership functions. Simple and easily realized calculable procedure of the clear distributing of objects is offered on clusters, based on a choice for each of objects of the most preferable cluster.
cluster analysis, unclear co-ordinates of objects, functions of belonging of unclear numbers, degree of preference of one unclear number before other, iterative procedure
"Nechetkaia zadacha klasternogo analiza" ,
Information Processing Systems,