Iterative Method for Construction of Linear Hulls and Informative Sets of Classes in Recognition Problems
Nikolay A IgnatyevNational University of Uzbekistan, Tashkent, Uzbekistan
ABI
Abstract
We consider the iterative method for determination of boundary objects of classified data sampling. These boundary objects are used for selection of a compact form for storage of training information as informative sets of classes. The process of recognition by informative sets makes it possible to organize parallelization of calculations.
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