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.