Title :
Clustering method based on fuzzy equivalence relation
Author :
Raut, Anjali B. ; Bamnote, G.R.
Author_Institution :
Dept. of Comput. Sci. & Eng., HVPM´´s COET, Amravati, India
Abstract :
Fuzzy clustering techniques are used to construct clusters with uncertain boundaries and allows that one object belongs to overlapping clusters with some membership degree. In other words, the fuzzy clustering is to consider not only the belonging status of object to the clusters, but also to consider to what degree do the object belong to the cluster. In this paper, a technique called “fuzzy hierarchical clustering” is being proposed that creates the clusters of web documents using fuzzy equivalence relation.
Keywords :
Internet; Web sites; data mining; fuzzy set theory; pattern clustering; search engines; Web document clusters; fuzzy equivalence relation; fuzzy hierarchical clustering techniques; membership degree; uncertain boundaries; Algorithm design and analysis; Clustering algorithms; Clustering methods; Heuristic algorithms; Partitioning algorithms; Web mining; Clustering; Fuzzy clustering; Search Engine; Web Mining;
Conference_Titel :
Computer and Communication Technology (ICCCT), 2011 2nd International Conference on
Conference_Location :
Allahabad
Print_ISBN :
978-1-4577-1385-9
DOI :
10.1109/ICCCT.2011.6075209
