Improved Multi-Verse Optimizer In Text Document Clustering For Topic Extraction

Improved Multi-Verse Optimizer In Text Document Clustering For Topic Extraction

This study aims to propose a suitable TE approach, which provides a better overview of the text documents. To achieve this aim: First, A new feature selection method for TDC, that is, binary multi-verse optimizer algorithm (BMVO) is proposed to eliminate irrelevantly, redundant features and obtain...

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書目詳細資料
主要作者:	Abasi, Ammar Kamal Mousa
格式:	Thesis
語言:	English
出版:	2021
主題:	QA75.5-76.95 Electronic computers Computer science
在線閱讀:	http://eprints.usm.my/53371/1/AMMAR%20KAMAL%20MOUSA%20ABASI%20-%20TESIS.pdf%20cut.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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