Title :
An efficient psFCM Clustering Algorithm
Author :
Begum, S.A. ; Purkayastha, B.S. ; Chakrabarty, A. ; Som, T.
Author_Institution :
Dept. of Comput. Sci., Assam Univ., Silchar
Abstract :
In this paper an efficient method for data clustering is proposed. The proposed algorithm is a modified psFCM, called the pshFCM clustering algorithm that finds better cluster centers for a given data sets as compared to the cluster centers obtained by he sFC. Tecmpuatinalperormnceof he ropsed pshFCM algorithm is comparable with thepsFCM and the FCM.
Keywords :
fuzzy set theory; pattern clustering; cluster centers; clustering algorithm; data clustering; fuzzy clustering; fuzzy sets; Algorithm design and analysis; Clustering algorithms; Clustering methods; Computer science; Data mining; Focusing; Fuzzy sets; Mathematics; Partitioning algorithms; Uncertainty; Data mining; Fuzzy clustering algorithm; Fuzzy sets;
Conference_Titel :
Advance Computing Conference, 2009. IACC 2009. IEEE International
Conference_Location :
Patiala
Print_ISBN :
978-1-4244-2927-1
Electronic_ISBN :
978-1-4244-2928-8
DOI :
10.1109/IADCC.2009.4809220
