A novel hybrid multi-verse optimizer with K-means for text documents clustering

Text clustering has been widely utilized with the aim of partitioning specific document collection into different subsets using homogeneity/heterogeneity criteria. It has also become a very complicated area of research, including pattern recognition, information retrieval, and text mining. Metaheuri...

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Veröffentlicht in:	Neural computing & applications 2020-12, Vol.32 (23), p.17703-17729
Hauptverfasser:	Abasi, Ammar Kamal, Khader, Ahamad Tajudin, Al-Betar, Mohammed Azmi, Naim, Syibrah, Alyasseri, Zaid Abdi Alkareem, Makhadmeh, Sharif Naser
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial Intelligence Cluster analysis Clustering Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data mining Data Mining and Knowledge Discovery Datasets Domains Heterogeneity Homogeneity Image Processing and Computer Vision Information retrieval Optimization Original Article Pattern recognition Probability and Statistics in Computer Science Scientific papers Vector quantization
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