Evaluating elastic distance measures and ensemble  methods for time series clustering

Additional Metadata
Keywords	time series clustering; k-means; k-medoids; elastic distances; clustering ensembles; Dynamic Time Warping; Move-Split-Merge; Longest Common Subsequence; Edit Distance on Real Sequences; Edit distance with Real Penalty; Time Warp Edit; UCR archive; CSPA
Thesis Advisor	Durieux, J
Persistent URL	hdl.handle.net/2105/73765
Series	Econometrie
Organisation	Erasmus School of Economics
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Ende, J.E. van der. (2024, September 18). Evaluating elastic distance measures and ensemble methods for time series clustering. Econometrie. Retrieved from http://hdl.handle.net/2105/73765

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