Finazzi, F., Haggarty, R. , Miller, C. , Scott, M. and Fassò, A. (2015) A comparison of clustering approaches for the study of the temporal coherence of multiple time series. Stochastic Environmental Research and Risk Assessment, 29(2), pp. 463-475. (doi: 10.1007/s00477-014-0931-2)
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Abstract
Two approaches for clustering of time series have been considered. The first is a novel approach based on a modification of classic state-space modelling while the second is based on functional clustering. For the latter, both k-means and complete-linkage hierarchical clustering algorithms are adopted. The two approaches are compared using a simulation study, and are applied to lake surface water temperature for 256 lakes globally for 5 years of data, to investigate information obtained from each approach.
| Item Type: | Articles |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | O'Donnell, Dr Ruth and Finazzi, Dr Francesco and Miller, Professor Claire |
| Authors: | Finazzi, F., Haggarty, R., Miller, C., Scott, M., and Fassò, A. |
| College/School: | College of Science and Engineering > School of Mathematics and Statistics > Statistics |
| Journal Name: | Stochastic Environmental Research and Risk Assessment |
| Publisher: | Springer Verlag |
| ISSN: | 1436-3240 |
| ISSN (Online): | 1436-3259 |
| Copyright Holders: | Copyright © 2014 The Authors |
| First Published: | First published in Stochastic Environmental Research and Risk Assessment 29(2):463-475 |
| Publisher Policy: | Reproduced under a Creative Commons License |
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