Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
438112 | Theoretical Computer Science | 2009 | 12 Pages |
Abstract
Similarity and dissimilarity measures are widely used in many research areas and applications. When a dissimilarity measure is used, it is normally required to be a distance metric. However, when a similarity measure is used, there is no formal requirement. In this article, we have three contributions. First, we give a formal definition of similarity metric. Second, we show the relationship between similarity metric and distance metric. Third, we present general solutions to normalize a given similarity metric or distance metric.
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