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....
Saved in:
Main Authors: | , , , |
---|---|
Format: | Book Series |
Published: |
2018
|
Subjects: | |
Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85006021701&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/55607 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Chiang Mai University |
id |
th-cmuir.6653943832-55607 |
---|---|
record_format |
dspace |
spelling |
th-cmuir.6653943832-556072018-09-05T03:07:14Z How to select an appropriate similarity measure: Towards a symmetry-based approach Ildar Batyrshin Thongchai Dumrongpokaphan Vladik Kreinovich Olga Kosheleva Computer Science Mathematics © 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. 2018-09-05T02:58:24Z 2018-09-05T02:58:24Z 2016-01-01 Book Series 16113349 03029743 2-s2.0-85006021701 10.1007/978-3-319-49046-5_39 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85006021701&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/55607 |
institution |
Chiang Mai University |
building |
Chiang Mai University Library |
country |
Thailand |
collection |
CMU Intellectual Repository |
topic |
Computer Science Mathematics |
spellingShingle |
Computer Science Mathematics Ildar Batyrshin Thongchai Dumrongpokaphan Vladik Kreinovich Olga Kosheleva How to select an appropriate similarity measure: Towards a symmetry-based approach |
description |
© 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. |
format |
Book Series |
author |
Ildar Batyrshin Thongchai Dumrongpokaphan Vladik Kreinovich Olga Kosheleva |
author_facet |
Ildar Batyrshin Thongchai Dumrongpokaphan Vladik Kreinovich Olga Kosheleva |
author_sort |
Ildar Batyrshin |
title |
How to select an appropriate similarity measure: Towards a symmetry-based approach |
title_short |
How to select an appropriate similarity measure: Towards a symmetry-based approach |
title_full |
How to select an appropriate similarity measure: Towards a symmetry-based approach |
title_fullStr |
How to select an appropriate similarity measure: Towards a symmetry-based approach |
title_full_unstemmed |
How to select an appropriate similarity measure: Towards a symmetry-based approach |
title_sort |
how to select an appropriate similarity measure: towards a symmetry-based approach |
publishDate |
2018 |
url |
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85006021701&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/55607 |
_version_ |
1681424537409814528 |