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Interactive Clustering: A Comprehensive Review.

Authors :
JUHEE BAE
HELLDIN, TOVE
RIVEIRO, MARIA
NOWACZYK, SŁAWOMIR
BOUGUELIA, MOHAMED-RAFIK
FALKMAN, GÖRAN
Source :
ACM Computing Surveys; Jan2021, Vol. 53 Issue 1, p1-39, 39p
Publication Year :
2021

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03600300
Volume :
53
Issue :
1
Database :
Complementary Index
Journal :
ACM Computing Surveys
Publication Type :
Academic Journal
Accession number :
141670875
Full Text :
https://doi.org/10.1145/3340960