How to select an appropriate similarity measure: Towards a symmetry-based approach
© 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....
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| Main Authors: | , , , |
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| 格式: | Book Series |
| 出版: |
2018
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| 主題: | |
| 在線閱讀: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85006021701&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/55607 |
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| 機構: | Chiang Mai University |
| 總結: | © 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. |
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