Name
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.
|
Year | DOI | Venue |
|---|---|---|
2020 | 10.1145/3340960 | ACM Computing Surveys (CSUR) |
Keywords | DocType | Volume |
Clustering,evaluation,feedback,interaction,interactive,user | Journal | 53 |
Issue | ISSN | Citations |
1 | 0360-0300 | 1 |
PageRank | References | Authors |
0.35 | 74 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| JuHee Bae | 1 | 65 | 9.69 |
| Tove Helldin | 2 | 76 | 8.59 |
| Maria Riveiro | 3 | 133 | 18.64 |
| Sławomir Nowaczyk | 4 | 70 | 16.61 |
| Mohamed-Rafik Bouguelia | 5 | 69 | 9.04 |
| Goran Falkman | 6 | 155 | 11.57 |