Enhancing Time Series Clustering by Incorporating Multiple Distance Measures with Semi-Supervised Learning
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Zhou, J, Zhu, SF, Huang, X and Zhang, Yanchun ORCID: 0000-0002-5094-5980
(2015)
Enhancing Time Series Clustering by Incorporating Multiple Distance Measures with Semi-Supervised Learning.
Journal of Computer Science and Technology, 30 (4).
859 - 873.
ISSN 1000-9000
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Item type | Article |
URI | https://vuir.vu.edu.au/id/eprint/31393 |
DOI | 10.1007/s11390-015-1565-7 |
Official URL | http://link.springer.com/article/10.1007/s11390-01... |
Subjects | Historical > FOR Classification > 0805 Distributed Computing Historical > Faculty/School/Research Centre/Department > Centre for Applied Informatics Current > Division/Research > College of Science and Engineering |
Keywords | time series; information retrieval; data mining |
Citations in Scopus | 11 - View on Scopus |
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