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Comprehensive Survey of Document Clustering Methods: Exploring Traditional, Hybrid, and Meta-Heuristic Approaches

Abstract:
Document Clustering is a process of combining the data into k groups based on similarity. In the literature, many document clustering methods cluster documents based on their similarity. There is a need for a comprehensive survey where we discuss the details of existing clustering methods. This survey paper discussed existing document clustering methods, such as k means and other hybrid and meta-heuristic-based clustering methods. The existing literature suggests a hybrid and meta-heuristic-based method enhanced the performance of document clustering.