Szepannek, Gero (contributor); Weihs, Claus (contributor) - 2005
In classification, with an increasing number of variables, the required number of observations grows drastically. In this paper we present an approach to put into effect the maximal possible variable selection, by splitting a K class classification problem into pairwise problems. The principle...