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

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...

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書目詳細資料
主要作者:	Alghamdi, Hanan Musafer H.
格式:	Thesis
語言:	English
出版:	2016
主題:	QA75 Electronic computers Computer science
在線閱讀:	http://eprints.utm.my/id/eprint/84043/1/HananMusaferPFC2016.pdf
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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