Interactive Clustering: A Comprehensive Review

被引：33

作者：

Bae, Juhee ^{[1
]}

Helldin, Tove ^{[1
]}

Riveiro, Maria ^{[1
,2
]}

Nowaczyk, Slawomir ^{[3
]}

Bouguelia, Mohamed-Rafik ^{[3
]}

Falkman, Goran ^{[1
]}

机构：

[1] Univ Skovde, Sch Informat, POB 408, SE-54128 Skovde, Sweden

[2] Jonkoping Univ, Dept Comp Sci & Informat, Sch Engn, Gjuterigatan 5, S-55111 Jonkoping, Sweden

[3] Univ Halmstad, Sch Informat Technol, Kristian IV S Vag 3, S-30118 Halmstad, Sweden

来源：

ACM COMPUTING SURVEYS | 2020年 / 53卷 / 01期

基金：

瑞典研究理事会;

关键词：

Clustering; interactive; interaction; user; evaluation; feedback; VISUAL ANALYTICS; VISUALIZATION; CLASSIFICATION; SUPERVISION; EXPLORATION; SYSTEM; MODEL; TOOL;

D O I：

10.1145/3340960

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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.

引用

页数：39

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