Research Article

Studies on Clustering based on Minimal Ratio Spanning Tree in a Fuzzy Graph

by  S. Gountia, S. K. Sahoo
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 25 - Issue 8
Published: July 2011
Authors: S. Gountia, S. K. Sahoo
10.5120/3054-4157
PDF

S. Gountia, S. K. Sahoo . Studies on Clustering based on Minimal Ratio Spanning Tree in a Fuzzy Graph. International Journal of Computer Applications. 25, 8 (July 2011), 8-13. DOI=10.5120/3054-4157

                        @article{ 10.5120/3054-4157,
                        author  = { S. Gountia,S. K. Sahoo },
                        title   = { Studies on Clustering based on Minimal Ratio Spanning Tree in a Fuzzy Graph },
                        journal = { International Journal of Computer Applications },
                        year    = { 2011 },
                        volume  = { 25 },
                        number  = { 8 },
                        pages   = { 8-13 },
                        doi     = { 10.5120/3054-4157 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2011
                        %A S. Gountia
                        %A S. K. Sahoo
                        %T Studies on Clustering based on Minimal Ratio Spanning Tree in a Fuzzy Graph%T 
                        %J International Journal of Computer Applications
                        %V 25
                        %N 8
                        %P 8-13
                        %R 10.5120/3054-4157
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, A study has been made for Cluster Analysis using Minimal Ratio Spanning tree of a Fuzzy Graph. Different clusters are generated by deleting the edge(s) in consideration to specific property. Comparison has been studied with regard to Narrow Slicing procedure in the Fuzzy Graph.

References
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Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Min–max weight of an edge min-max ratio edge connectivity

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