Multidimensional pattern recognition problems and combining classifiers

摘要

An algebraic approach for solving multidimensional supervised pattern recognition problems is considered. The original problem is first partitioned to a number of individual problems of lower dimensions. Then the optimal output classifier is constructed by combining classifiers for the individual problems.