| Title |
Evolutionary soft co-clustering: formulations, algorithms, and applications
|
|---|---|
| Published in |
Data Mining and Knowledge Discovery, August 2014
|
| DOI | 10.1007/s10618-014-0375-9 |
| Authors |
Wenlu Zhang, Rongjian Li, Daming Feng, Andrey Chernikov, Nikos Chrisochoides, Christopher Osgood, Shuiwang Ji |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 5% |
| Unknown | 21 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 18% |
| Student > Master | 4 | 18% |
| Student > Doctoral Student | 3 | 14% |
| Student > Ph. D. Student | 3 | 14% |
| Student > Postgraduate | 3 | 14% |
| Other | 3 | 14% |
| Unknown | 2 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 59% |
| Business, Management and Accounting | 2 | 9% |
| Mathematics | 1 | 5% |
| Unknown | 6 | 27% |