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Erschienen in:
1994 | ReviewPaper | Buchkapitel
A context similarity measure
verfasst von : Yoram Biberman
Erschienen in: Machine Learning: ECML-94
Verlag: Springer Berlin Heidelberg
Enthalten in: Professional Book Archive
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This paper concentrates upon similarity between objects described by vectors of nominal features. It proposes non-metric measures for evaluating the similarity between: (a) two identical values in a feature, (b) two different values in a feature, (c) two objects. The paper suggests that similarity is dependent upon the context: It is influenced by the given set of objects, and the concept under discussion. The proposed Context-Similarity measure was tested, and the paper presents comparisons with other measures. The comparisons suggest that compared to other measures, the Context-Similarity suites best for natural concepts.