An algebraic approach for solving multidimensional supervised pattern recog
nition problems is considered. The original problem is first partitioned to
a number of individual problems of lower dimensions. Then the optimal outp
ut classifier is constructed by combining classifiers for the individual pr
oblems. (C) 2001 Published by Elsevier Science B.V.