On the need of unfolding preprocessing for time series clustering
(2005) 5th Workshop on Self-Organizing Maps (WSOM 2005) — Location: Paris (France) (5.September.2005)
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- Abstract
- Clustering methods are commonly used on time series, either as a preprocessing for other methods or for themselves. This paper illustrates the problem of clustering applied on regressor vectors obtained from row time series. It is thus shown why time series clustering may sometimes seem meaningless. A preprocessing is proposed to unfold time series and allow a meaningful clustering of regressors. Graphical and experimental results show the usefulness of the unfolding preprocessing.
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Citations
Simon, G., Lee, J., & Verleysen, M. (2005). On the need of unfolding preprocessing for time series clustering. Proceedings the 5th Workshop on Self-Organizing Maps (WSOM 2005), p. 251-258. https://hdl.handle.net/2078.5/254157