Support vector clustering of time series data with alignment kernels

Title: Support vector clustering of time series data with alignment kernels
Creator: Boecking, Benedikt; Chalup, Stephan K.; Seese, Detlef; Wong, Aaron S. W.
Relation: Pattern Recognition Letters Vol. 45, p. 129-135
Publisher Link: http://dx.doi.org/10.1016/j.patrec.2014.03.015
Publisher: Elsevier
Resource Type: journal article
Date: 2014
Description: Time series clustering is an important data mining topic and a challenging task due to the sequences’ potentially very complex structures. In the present study we experimentally investigate the combination of support vector clustering with a triangular alignment kernel by evaluating it on an artificial time series benchmark dataset. The experiments lead to meaningful segmentations of the data, thereby providing an example that clustering time series with specific kernels is possible without pre-processing of the data. We compare our approach and the results and learn that the clustering quality is competitive when compared to other approaches.
Subject: support vector clustering; time series; alignment kernel; clustering
Identifier: http://hdl.handle.net/1959.13/1042989
Identifier: uon:14159
Identifier: ISSN:0167-8655
Language: eng
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