Semantic feature reduction and hybrid feature selection for clustering of Arabic Web pages

• Main Author: Alghamdi, Hanan Musafer H.
• Format: Thesis
• Language: English
• Published: 2016
• Subjects: QA75 Electronic computers. Computer science
• 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
• Institution: Universiti Teknologi Malaysia

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...