Name
Title | ||
|---|---|---|
Incremental Semi-Supervised Clustering Ensemble for High Dimensional Data Clustering. |
Abstract | ||
|---|---|---|
Traditional cluster ensemble approaches have three limitations: (1) They do not make use of prior knowledge of the datasets given by experts. (2) Most of the conventional cluster ensemble methods cannot obtain satisfactory results when handling high dimensional data. (3) All the ensemble members are considered, even the ones without positive contributions. In order to address the limitations of co... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TKDE.2015.2499200 | IEEE Transactions on Knowledge and Data Engineering |
Keywords | DocType | Volume |
Linear programming,Clustering algorithms,Cost function,Algorithm design and analysis,Search problems,Gene expression,Cancer | Conference | 28 |
Issue | ISSN | Citations |
3 | 1041-4347 | 41 |
PageRank | References | Authors |
0.98 | 34 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhiwen Yu | 1 | 2753 | 220.67 |
| Peinan Luo | 2 | 43 | 1.34 |
| Jane You | 3 | 1885 | 136.93 |
| Hau-San Wong | 4 | 1008 | 86.89 |
| Hareton Leung | 5 | 230 | 13.52 |
| Si Wu | 6 | 148 | 16.73 |
| Jun Zhang | 7 | 468 | 49.02 |
| Guoqiang Han | 8 | 439 | 43.27 |