Please use this identifier to cite or link to this item:
http://cmuir.cmu.ac.th/jspui/handle/6653943832/55607
Title: | How to select an appropriate similarity measure: Towards a symmetry-based approach |
Authors: | Ildar Batyrshin Thongchai Dumrongpokaphan Vladik Kreinovich Olga Kosheleva |
Authors: | Ildar Batyrshin Thongchai Dumrongpokaphan Vladik Kreinovich Olga Kosheleva |
Keywords: | Computer Science;Mathematics |
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. |
URI: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85006021701&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/55607 |
ISSN: | 16113349 03029743 |
Appears in Collections: | CMUL: Journal Articles |
Files in This Item:
There are no files associated with this item.
Items in CMUIR are protected by copyright, with all rights reserved, unless otherwise indicated.