In this paper the approach of fuzzy clustering-classification of medical data sample, limited in its dimensionality using the method of fuzzy spatial extrapolation is considered. The proposed procedure refers to the direction of Medical Data Mining, and is a hybrid system that can solve the task of diagnosing various diseases in a limited sample, complete or partial overlapping of classes, their different densities, different numerical filling and requires for its training of small volumes of a priori information.
fuzzy clustering , classification, deficit of information , fuzzy spatial extrapolation
"Nechetkaia klassyfykatsyia dannыkh medyko-byolohycheskykh yssledovanyi v uslovyiakh defytsyta ynformatsyy" [Fuzzy classification of data for biomedical research in the scarce information],
Information Processing Systems,