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.identifier.citation |
37p. |
en_US |
dc.identifier.uri |
http://hdl.handle.net/10263/6965 |
|
dc.description |
Dissertation under the supervision of Dr. Swagatam Das, ECS Unit |
en_US |
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 |