Metrics for classifying heterogeneous objects

Bezem, M.A.; Blok, K.; Keijzer, M.

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 [1].

Additional Metadata
ACM	Information Search and Retrieval (acm H.3.3)
MSC	Metric spaces, metrizability (msc 54E35), Complete metric spaces (msc 54E50)
Publisher	CWI
Series	CWI. Probability, Networks and Algorithms [PNA]
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Bezem, M. A., Blok, K., & Keijzer, M. (1998). Metrics for classifying heterogeneous objects. CWI. Probability, Networks and Algorithms [PNA]. CWI.

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Metrics for classifying heterogeneous objects

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