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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.
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research.ORCID iD: 0000-0002-7796-5201
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2020 (English)In: ACM Computing Surveys, ISSN 0360-0300, E-ISSN 1557-7341, Vol. 53, no 1, article id 1Article in journal (Refereed) 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).

Place, publisher, year, edition, pages
New York, NY: ACM Digital Library, 2020. Vol. 53, no 1, article id 1
Keywords [en]
Clustering, Interactive, Interaction, User, Evaluation, Feedback, Survey, Machine Learning, Data Mining
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:hh:diva-41634DOI: 10.1145/3340960ISI: 000582585800001Scopus ID: 2-s2.0-85079573488OAI: oai:DiVA.org:hh-41634DiVA, id: diva2:1392785
Funder
Knowledge Foundation, BIDAF 20140221Swedish Research Council, EXPLAIN VR 2018-03622Available from: 2020-02-10 Created: 2020-02-10 Last updated: 2022-09-29Bibliographically approved

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Nowaczyk, SławomirBouguelia, Mohamed-Rafik

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Bae, JuheeHelldin, ToveNowaczyk, SławomirBouguelia, Mohamed-RafikFalkman, Göran
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