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

S. Gountia | Zendy; Swagatika Sahoo | Zendy

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

Author(s) -

S. Gountia,

Swagatika Sahoo

Publication year - 2011

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/3054-4157

Subject(s) - computer science , spanning tree , minimum spanning tree , cluster analysis , graph , fuzzy clustering , data mining , artificial intelligence , theoretical computer science , algorithm , combinatorics , mathematics

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. General Terms: Fuzzy graph, Spanning tree, minimum ratio spanning tree in a fuzzy graph.

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