Including additional distortion measures in the convex k-means algorithm

Additional Metadata
Keywords	clustering; machine learning; k-means clustering; feature weighting; jaccard distance; minkowski distance; cosine distance; distortion measures
Thesis Advisor	Badenbroek, RM
Persistent URL	hdl.handle.net/2105/73788
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	Broek, M. (2024, September 18). Including additional distortion measures in the convex k-means algorithm. Econometrie. Retrieved from http://hdl.handle.net/2105/73788

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