Validating the Clustering Quality of K-Means Clustering and Agglomerative Hierarchical Clustering by means of Multiple Dimension Reduction Techniques

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Keywords	Cluster Optimization · Clustering Validation · Principal Component Analysis · Independent Component Analysis · t-Distributed Stochastic neighbor Embedding · Locally Linear Embedding · k-means Clustering · Agglomerative Hierarchical Clustering · Clustering Analysis · Dimensionality Reduction
Thesis Advisor	Durieux, J
Persistent URL	hdl.handle.net/2105/67575
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	Genc, D.I.N. (2023). Validating the Clustering Quality of K-Means Clustering and Agglomerative Hierarchical Clustering by means of Multiple Dimension Reduction Techniques. In Econometrie.http://hdl.handle.net/2105/67575

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