KNN behavior with set-valued attributes.

This paper addresses the problem of dealing with set-valued attributes in the lazy learning context. This type of attribute is present in various domains, yet the instance-based learning tools do not provide a representation for them. To solve this problem, we present a proposal for the treatment of the sets in the context of the k-NN algorithm through an extension to HEOM distance. Experiments using various data sets show the feasibility of this option.