Combining multiple classiiers is an eeective technique for improving accuracy. There are many general combining algorithms, such as Bagging or Error Correcting Output Coding, that signiicantly improve classiiers like decision trees, rule learners, or neural networks. Unfortunately, many combining methods do not improve the nearest neighbor classiier. In this paper, we present MFS, a combining a...