2021
DOI: 10.21203/rs.3.rs-743089/v1
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Type2 IFC with SOA for Topic Detection and Document Clustering Analysis

Abstract: The automatic document clustering and topic extraction from the corpus provides a very essential requirement in many real time applications. The document clustering and topic detection is utilized to locating data quickly. Hence, in this paper, Type 2 Intuitionistic Fuzzy Clustering and Seagull Optimization Algorithm (Type 2 IFCSOA) is developed for document clustering and topic detection. The Type 2 IFCSOA is utilized to cluster the documents. Additionally, ensemble approach is utilized to identify by the top… Show more

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