Feature Selection And Enhanced Krill Herd Algorithm For Text Document Clustering

Feature Selection And Enhanced Krill Herd Algorithm For Text Document Clustering

Text document (TD) clustering is a new trend in text mining in which the TDs are separated into several coherent clusters, where documents in the same cluster are similar. In this study, a new method for solving the TD clustering problem worked in the following two stages: (i) A new feature selecti...

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書目詳細資料
主要作者:	Abualigah, Laith Mohammad Qasim
格式:	Thesis
語言:	English
出版:	2018
主題:	QA75.5-76.95 Electronic computers Computer science
在線閱讀:	http://eprints.usm.my/43662/1/LAITH%20MOHAMMAD%20QASIM%20ABUALIGAH.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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