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Interactive Clustering: A Comprehensive Review
University of Skövde, Skövde, Sweden.ORCID-id: 0000-0002-2415-7243
University of Skövde, Skövde, Sweden.ORCID-id: 0000-0001-6245-5850
Jönköping University, Jönköping, Sweden & University of Skövde, Skövde, Sweden.
Högskolan i Halmstad, Akademin för informationsteknologi, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR Centrum för tillämpade intelligenta system (IS-lab).ORCID-id: 0000-0002-7796-5201
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2020 (engelsk)Inngår i: ACM Computing Surveys, ISSN 0360-0300, E-ISSN 1557-7341, Vol. 53, nr 1, artikkel-id 1Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

In this survey, 105 papers related to interactive clustering were reviewed according to seven perspectives: (1) on what level is the interaction happening, (2) which interactive operations are involved, (3) how user feedback is incorporated, (4) how interactive clustering is evaluated, (5) which data and (6) which clustering methods have been used, and (7) what outlined challenges there are. This article serves as a comprehensive overview of the field and outlines the state of the art within the area as well as identifies challenges and future research needs. © 2020 Copyright held by the owner/author(s).

sted, utgiver, år, opplag, sider
New York, NY: ACM Digital Library, 2020. Vol. 53, nr 1, artikkel-id 1
Emneord [en]
Clustering, Interactive, Interaction, User, Evaluation, Feedback, Survey, Machine Learning, Data Mining
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Identifikatorer
URN: urn:nbn:se:hh:diva-41634DOI: 10.1145/3340960OAI: oai:DiVA.org:hh-41634DiVA, id: diva2:1392785
Forskningsfinansiär
Knowledge Foundation, BIDAF 20140221Swedish Research Council, EXPLAIN VR 2018-03622Tilgjengelig fra: 2020-02-10 Laget: 2020-02-10 Sist oppdatert: 2020-02-18bibliografisk kontrollert

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