Feature selection and enhanced krill herd algorithm for text document clustering
This book puts forward a new method for solving the text document (TD) clustering problem, which is established in two main stages: (i) A new feature selection method based on a particle swarm optimization algorithm with a novel weighting scheme is proposed, as well as a detailed dimension reduction...
| Main Author: | Abualigah, Laith Mohammad Qasim, |
|---|---|
| Other Authors: | SpringerLink (Online Service) |
| Format: | eBook |
| Language: | English |
| Published: |
Cham, Switzerland :
Springer,
[2019]
|
| Physical Description: |
1 online resource (xxvii, 165 pages) : illustrations. |
| Series: |
Studies in computational intelligence ;
816. |
| Subjects: |
CMU Electronic Access
Electronic Resource Click Here| Location | Call Number: | Status |
|---|---|---|
| CMU Electronic Access | Available |