Sparse min-max k-means algorithm for high-dimensional data clustering
| dc.contributor.author | Dey, Sayak | |
| dc.date.accessioned | 2018-08-03T05:55:06Z | |
| dc.date.available | 2018-08-03T05:55:06Z | |
| dc.date.issued | 2018 | |
| dc.description | Dissertation under the supervision of Dr. Swagatam Das, ECS Unit | en_US |
| dc.identifier.citation | 37p. | en_US |
| dc.identifier.uri | http://hdl.handle.net/10263/6965 | |
| dc.language.iso | en | en_US |
| dc.publisher | Indian Statistical Institute, Kolkata | en_US |
| dc.relation.ispartofseries | Dissertation;18-399 | |
| dc.subject | K-means clustering | en_US |
| dc.subject | High-dimensional data clustering | en_US |
| dc.subject | Feature selection | en_US |
| dc.subject | Sparsity | en_US |
| dc.subject | IF-PCA | en_US |
| dc.subject | MinMax k-means | en_US |
| dc.title | Sparse min-max k-means algorithm for high-dimensional data clustering | en_US |
| dc.type | Article | en_US |
