Semantic feature reduction and hybrid feature selection for clustering of Arabic Web pages
In the literature, high-dimensional data reduces the efficiency of clustering algorithms. Clustering the Arabic text is challenging because semantics of the text involves deep semantic processing. To overcome the problems, the feature selection and reduction methods have become essential to select a...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
2016
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/84043/1/HananMusaferPFC2016.pdf http://eprints.utm.my/id/eprint/84043/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:125988 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Universiti Teknologi Malaysia |
| Language: | English |