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Title: How to select an appropriate similarity measure: Towards a symmetry-based approach
Authors: Ildar Batyrshin
Thongchai Dumrongpokaphan
Vladik Kreinovich
Olga Kosheleva
Keywords: Computer Science
Issue Date: 1-Jan-2016
Abstract: © Springer International Publishing AG 2016. When practitioners analyze the similarity between time series, they often use correlation to gauge this similarity. Sometimes this works, but sometimes, this leads to counter-intuitive results, in which case other similarity measures are more appropriate. An important question is how to select an appropriate similarity measures. In this paper, we show, on simple examples, that the use of natural symmetries – scaling and shift – can help with such a selection.
ISSN: 16113349
Appears in Collections:CMUL: Journal Articles

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