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Interactive Clustering: A Comprehensive Review
University of Skövde, Skövde, Sweden.
University of Skövde, Skövde, Sweden.
Jönköping University, School of Engineering, JTH, Department of Computing, Jönköping AI Lab (JAIL).ORCID iD: 0000-0003-2900-9335
University of Halmstad, Halmstad, Sweden.
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2020 (English)In: ACM Computing Surveys, ISSN 0360-0300, E-ISSN 1557-7341, Vol. 53, no 1, p. 1-39, article id 1Article, review/survey (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.

Place, publisher, year, edition, pages
ACM Digital Library, 2020. Vol. 53, no 1, p. 1-39, article id 1
Keywords [en]
evaluation, feedback, Clustering, interaction, interactive, user
National Category
Interaction Technologies
Identifiers
URN: urn:nbn:se:hj:diva-47894DOI: 10.1145/3340960ISI: 000582585800001Scopus ID: 2-s2.0-85079573488Local ID: KOA JTH 2020;JTHDatateknikISOAI: oai:DiVA.org:hj-47894DiVA, id: diva2:1396807
Funder
Knowledge Foundation, 20140221Swedish Research Council, 2018-03622Available from: 2020-02-26 Created: 2020-02-26 Last updated: 2021-03-15Bibliographically approved

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Riveiro, Maria

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