Bare-Bones Based Salp Swarm Algorithm for Text Document Clustering

Text Document Clustering (TDC) is a challenging optimization problem in unsupervised machine learning and text mining. The Salp Swarm Algorithm (SSA) has been found to be effective in solving complex optimization problems. However, the SSA’s exploitation phase requires improvement to solve th...

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書誌詳細

主要な著者:	Mohammed Azmi Al-Betar, Ammar Kamal Abasi, Ghazi Al-Naymat, Kamran Arshad, Sharif Naser Makhadmeh
フォーマット:	Artigo
言語:	Inglês
出版事項:	IEEE 2023-01-01
シリーズ:	IEEE Access
主題:	Global optimization salp swarm algorithm bare bones greedy selection strategy text document clustering
オンライン･アクセス:	https://ieeexplore.ieee.org/document/10247508/
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