Identifying Group Structures in Survey Data: A Random Matrix Theory Approach Compared to K-means Clustering

Additional Metadata
Keywords	Customer Segmentation, Survey Data, Random Matrix Theory, K-means Clustering, Group Structure Identification
Thesis Advisor	Roos, J.M.T., Chen, Xi
Persistent URL	hdl.handle.net/2105/77292
Series	Business Analytics & Management
Organisation	Rotterdam School of Management
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	Chen, Zihang. (2025). Identifying Group Structures in Survey Data: A Random Matrix Theory Approach Compared to K-means Clustering. In Business Analytics & Management.http://hdl.handle.net/2105/77292

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