Fuzzy clustering and classification: combining fuzzy partition

抄録

In this paper we study the use of fuzzy clustering for its application to classification problems. We apply the approach to the classification of gene expressions. We discuss the problem of aggregating the fuzzy partitions obtained from the fuzzy clustering. We propose an algorithm similar to $k$-nearest neighbor for solving some of the difficulties that appear in this problem.