Interactive Clustering: A Comprehensive Review

被引：29
|
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
收藏
页数：39
相关论文
共 50 条
  • [1] Interactive clustering: a scoping review
    Thais Rodrigues Neubauer
    Sarajane Marques Peres
    Marcelo Fantinato
    Xixi Lu
    Hajo Alexander Reijers
    Artificial Intelligence Review, 2021, 54 : 2765 - 2826
  • [2] Interactive clustering: a scoping review
    Neubauer, Thais Rodrigues
    Peres, Sarajane Marques
    Fantinato, Marcelo
    Lu, Xixi
    Reijers, Hajo Alexander
    ARTIFICIAL INTELLIGENCE REVIEW, 2021, 54 (04) : 2765 - 2826
  • [3] Clustering Techniques for Traffic Classification: A Comprehensive Review
    Takyi, Kate
    Bagga, Amandeep
    Goopta, Pooja
    2018 7TH INTERNATIONAL CONFERENCE ON RELIABILITY, INFOCOM TECHNOLOGIES AND OPTIMIZATION (TRENDS AND FUTURE DIRECTIONS) (ICRITO) (ICRITO), 2018, : 224 - 230
  • [4] A comprehensive and analytical review of text clustering techniques
    Mehta, Vivek
    Agarwal, Mohit
    Kaliyar, Rohit Kumar
    INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS, 2024, 18 (03) : 239 - 258
  • [5] INTERACTIVE CLUSTERING
    WHALEY, CP
    BEHAVIOR RESEARCH METHODS & INSTRUMENTATION, 1982, 14 (02): : 170 - 175
  • [6] Uneven clustering in wireless sensor networks: A comprehensive review
    Sharma, Yogender Kumar
    Ahmed, Gulrej
    Saini, Dinesh Kumar
    COMPUTERS & ELECTRICAL ENGINEERING, 2024, 120
  • [7] Multifunctional Grid Interactive Solar Photovoltaic Systems: A Comprehensive Review
    Patel, Nirav
    Gupta, Nitin
    Kumar, Ajay
    Verma, Arun Kumar
    INTERNATIONAL JOURNAL OF RENEWABLE ENERGY RESEARCH, 2018, 8 (04): : 2116 - 2130
  • [8] Clustering algorithm for community detection in complex network: A comprehensive review
    Agrawal S.
    Patel A.
    Recent Advances in Computer Science and Communications, 2020, 13 (04): : 542 - 549
  • [9] Interactive Correlation Clustering
    Geerts, Floris
    Ndindi, Reuben
    2014 INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS (DSAA), 2014, : 170 - 176
  • [10] Clustering with Interactive Feedback
    Balcan, Maria-Florina
    Blum, Avrim
    ALGORITHMIC LEARNING THEORY, PROCEEDINGS, 2008, 5254 : 316 - 328
12345