Publications:Interactive Clustering: A Comprehensive Review

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Title Interactive Clustering: A Comprehensive Review
Author Juhee Bae and Tove Helldin and Maria Riveiro and Sławomir Nowaczyk and Mohamed-Rafik Bouguelia and Göran Falkman
Year 2020
PublicationType Journal Paper
Journal ACM Computing Surveys
HostPublication
Conference
DOI http://dx.doi.org/10.1145/3340960
Diva url http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:1392785
Abstract 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.