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dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorKarnstedt-Hulpus, I.R.
dc.contributor.authorHoogmoed, Frank
dc.date.accessioned2023-07-07T00:01:20Z
dc.date.available2023-07-07T00:01:20Z
dc.date.issued2023
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/44129
dc.description.sponsorshipUtrecht University
dc.language.isoEN
dc.subjectA comparative evaluation of multiple clustering algorithms on the task of Entity resolution. Furthermore, a method for selecting the best clustering algorithm on a per connected component basis is proposed to enhance the final clustering result by leveraging multiple different clustering algorithms.
dc.titleLeveraging Clustering Algorithms on Connected Components for Entity Resolution
dc.type.contentMaster Thesis
dc.rights.accessrightsOpen Access
dc.subject.courseuuComputing Science
dc.thesis.id18428


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