https://mw.hh.se/caisr/index.php?action=history&feed=atom&title=Publications%3AInteractive_Clustering%3A_A_Comprehensive_ReviewPublications:Interactive Clustering: A Comprehensive Review - Revision history2026-04-04T17:10:46ZRevision history for this page on the wikiMediaWiki 1.35.13https://mw.hh.se/caisr/index.php?title=Publications:Interactive_Clustering:_A_Comprehensive_Review&diff=4529&oldid=prevSlawek: Created page with "<div style='display: none'> == Do not edit this section == </div> {{PublicationSetupTemplate|Author=Juhee Bae, Tove Helldin, Maria Riveiro, Sławomir Nowaczyk, Rafik Bouguelia..."2020-02-11T21:22:19Z<p>Created page with "<div style='display: none'> == Do not edit this section == </div> {{PublicationSetupTemplate|Author=Juhee Bae, Tove Helldin, Maria Riveiro, Sławomir Nowaczyk, Rafik Bouguelia..."</p>
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{{PublicationSetupTemplate|Author=Juhee Bae, Tove Helldin, Maria Riveiro, Sławomir Nowaczyk, Rafik Bouguelia, Göran Falkman<br />
|PID=1392785<br />
|Name=Bae, Juhee (University of Skövde, Sweden);Helldin, Tove (University of Skövde, Sweden);Riveiro, Maria (Jönköping University, Sweden);Nowaczyk, Sławomir (slanow) (0000-0002-7796-5201) (Högskolan i Halmstad (2804), Akademin för informationsteknologi (16904), Halmstad Embedded and Intelligent Systems Research (EIS) (3938), CAISR Centrum för tillämpade intelligenta system (IS-lab) (13650));Bouguelia, Mohamed-Rafik (mohbou) (0000-0002-2859-6155) (Högskolan i Halmstad (2804), Akademin för informationsteknologi (16904), Halmstad Embedded and Intelligent Systems Research (EIS) (3938), CAISR Centrum för tillämpade intelligenta system (IS-lab) (13650));Falkman, Göran (University of Skövde, Sweden)<br />
|Title=Interactive Clustering: A Comprehensive Review<br />
|PublicationType=Journal Paper<br />
|ContentType=Refereegranskat<br />
|Language=eng<br />
|Journal=ACM Computing Surveys<br />
|JournalISSN=0360-0300<br />
|Status=published<br />
|Volume=53<br />
|Issue=1<br />
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|Year=2020<br />
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|Publisher=ACM Digital Library<br />
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|Urls=https://dl.acm.org/doi/10.1145/3340960<br />
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|DOI=http://dx.doi.org/10.1145/3340960<br />
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|NBN=urn:nbn:se:hh:diva-41634<br />
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|Keywords=Clustering;Interactive;Interaction;User;Evaluation;Feedback;Survey;Machine Learning;Data Mining<br />
|Categories=Datorsystem (20206)<br />
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|Abstract=<p>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.</p><br />
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|CreatedDate=2020-02-10<br />
|PublicationDate=2020-02-10<br />
|LastUpdated=2020-02-10<br />
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