2014/06/06 by Satendra Kumar, kumar, Satendra, Mamta Kathuria +5
Computer Science · #Advanced Clustering Algorithms Research #Data Management and Algorithms #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Text and Document Classification Technologies
paper · pdf · doi:10.48550/arxiv.1406.1583
openalex publication_date 2014/06/06 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The conventional clustering algorithms have difficulties in handling the challenges posed by the collection of natural data which is often vague and uncertain. Fuzzy clustering methods have the potential to manage such situations efficiently. Fuzzy clustering method is offered to construct clusters with uncertain boundaries and allows that one object belongs to one or more clusters with some membership degree. In this paper, an algorithm and experimental results are presented for fuzzy clustering of web documents using equivalence relations and fuzzy hierarchical clustering.