Name
Abstract | ||
|---|---|---|
The wisdom of crowds (WOCs), as a theory in the social science, gets a new paradigm in computer science. The WOC theory explains that the aggregate decision made by a group is often better than those of its individual members if specific conditions are satisfied. This paper presents a novel framework for unsupervised and semisupervised cluster ensemble by exploiting the WOC theory. We employ four ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TCYB.2016.2642999 | IEEE Transactions on Cybernetics |
Keywords | DocType | Volume |
Clustering algorithms,Measurement,Robustness,Animals,Clustering methods,Correlation,Cybernetics | Journal | 48 |
Issue | ISSN | Citations |
2 | 2168-2267 | 3 |
PageRank | References | Authors |
0.36 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| muhammad yousefnezhad | 1 | 15 | 6.03 |
| Sheng-Jun Huang | 2 | 475 | 27.21 |
| Daoqiang Zhang | 3 | 2862 | 165.29 |