Iterative Method for Construction of Linear Hulls and Informative Sets of Classes in Recognition Problems

摘要

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.