Document clustering analysis with aid of adaptive Jaro Winkler with Jellyfish search clustering algorithm

• Published in: Advances in engineering software (1992) Vol. 175; p. 103322
• Main Authors: Pitchandi, Perumal, Balakrishnan, Mathivanan
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.01.2023
• Subjects: Document clustering; Jaro-Winkler distance; Ontology; Stemming; Stop -word removal; Text; WordNet and feature selection; Document clustering; Jaro-Winkler distance; Ontology; Text; WordNet and feature selection; Stop -word removal; Stemming

•For the document clustering, Adaptive Jaro Winkler with Jellyfish Search Clustering algorithm is developed.•Four phases are considered namely pre-processing, feature extraction, feature knowledge establishment, and document clustering phase.•First phase, documents are pre-processed based on tokeniz...