Enhancing the interpretability of cluster analysis based on cluster explanations that are both accurate and distinctive by enlarging its applicability to mixed-type data

Additional Metadata
Keywords	Clustering; cluster interpretability; Gower distance; cluster accuracy; cluster distinctiveness; multi-typed data
Thesis Advisor	Willemsen, RSH
Persistent URL	hdl.handle.net/2105/67841
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	Exel, F.D.B. van. (2023, September 13). Enhancing the interpretability of cluster analysis based on cluster explanations that are both accurate and distinctive by enlarging its applicability to mixed-type data. Econometrie. Retrieved from http://hdl.handle.net/2105/67841

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