Interactive Clustering Article Swipe
Related Concepts
Computer science
Cluster analysis
Field (mathematics)
Human–computer interaction
Data science
Artificial intelligence
Mathematics
Pure mathematics
Juhee Bae
,
Tove Helldin
,
Maria Riveiro
,
Sławomir Nowaczyk
,
Mohamed-Rafik Bouguelia
,
Göran Falkman
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1145/3340960
· OA: W3005339103
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1145/3340960
· OA: W3005339103
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.
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