Metrics for classifying heterogeneous objects
We propose and discuss distance measures to compare objects that have heterogeneous sets of characteristics, such as encountered in, for example, medical diagnosis and information retrieval. We treat both boolean-valued and (scaled) real-valued characteristics. Weighting of characteristics is accomodated. The paper is a modified and extended version of .
|CWI. Probability, Networks and Algorithms [PNA]|
Bezem, M.A, Blok, K, & Keijzer, M. (1998). Metrics for classifying heterogeneous objects. CWI. Probability, Networks and Algorithms [PNA]. CWI.