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In this paper, the authors proposed a hybrid Tolerance Rough Set Based Firefly (TRS-Firefly-K-Means) clustering algorithm for clustering tags in social systems. At that stage, the proposed system is contrasted with the benchmark algorithm K-Means clustering and Particle Swarm optimization (PSO) based Clustering technique. The experimental analysis outlines the viability of the suggested methodology.<\/p>","DOI":"10.4018\/ijrsda.2015010105","type":"journal-article","created":{"date-parts":[[2015,1,30]],"date-time":"2015-01-30T19:21:47Z","timestamp":1422645707000},"page":"70-87","source":"Crossref","is-referenced-by-count":4,"title":["Hybrid TRS-FA Clustering Approach for Web2.0 Social Tagging System"],"prefix":"10.4018","volume":"2","author":[{"given":"Hannah","family":"Inbarani H","sequence":"first","affiliation":[{"name":"Department of Computer Science, Periyar University, Salem, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Selva","family":"Kumar S","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Periyar University, Salem, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"2432","reference":[{"key":"ijrsda.2015010105-0","unstructured":"Azar, A. T., Banu, P. K. N., & Inbarani, H. H. 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