Determining the Optimal Number of Clusters in Time Series Clustering Using Elastic Distance Functions

Additional Metadata
Keywords	Time series clustering; Elastic distance functions; k-medoids; Model selection; Silhouette; Davies-Bouldin; Calinski-Harabasz
Thesis Advisor	Durieux, J
Persistent URL	hdl.handle.net/2105/73783
Series	Econometrie
Organisation	Erasmus School of Economics
Citation APA APA Style APA-ALL Style AAA 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	Braks, L.G.J. (2024). Determining the Optimal Number of Clusters in Time Series Clustering Using Elastic Distance Functions. In Econometrie.http://hdl.handle.net/2105/73783

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