Please use this identifier to cite or link to this item:
http://hdl.handle.net/10263/6965| Title: | Sparse min-max k-means algorithm for high-dimensional data clustering |
| Authors: | Dey, Sayak |
| Keywords: | K-means clustering High-dimensional data clustering Feature selection Sparsity IF-PCA MinMax k-means |
| Issue Date: | 2018 |
| Publisher: | Indian Statistical Institute, Kolkata |
| Citation: | 37p. |
| Series/Report no.: | Dissertation;18-399 |
| Description: | Dissertation under the supervision of Dr. Swagatam Das, ECS Unit |
| URI: | http://hdl.handle.net/10263/6965 |
| Appears in Collections: | Dissertations - M Tech (CS) |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Diss-399.pdf | 865.03 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.