Performanace of Improved Minimum Spanning Tree Based on Clustering Technique

Dr. P.Sampurnima

Performanace of Improved Minimum Spanning Tree Based on Clustering Technique

Dr. P.Sampurnima * §

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§ Nova College of Engineering for Women/JNTUK

Performanace of Improved Minimum Spanning Tree Based on Clustering Technique

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Abstract

Clustering technique is one of the most important and basic tool for data mining. Cluster algorithms have the ability to detect clusters with irregular boundaries, minimum spanning tree-based clustering algorithms have been widely used in practice. In such clustering algorithms, the search for nearest objects in the construction of minimum spanning trees is the main source of computation

References

10 Cites in Article

Reference Format

1. Irit Katriel,Peter Sanders,Jesper Träff (2003). A Practical Minimum Spanning Tree Algorithm Using the Cycle Property. Lecture Notes in Computer Science, 2832, 679-690.
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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. P.Sampurnima. 2012. "Performanace of Improved Minimum Spanning Tree Based on Clustering Technique". Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 12 (GJCST Volume 12 Issue C13).

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GJCST Volume 12 Issue C13

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Clustering Divisive hierarchical clustering algorithm graph algorithms Minimum spanning tree

Classification

GJCST-C Classification E.1

Submission ReceivedDecember 9, 2011
Peer Review Double Blind
Handling Editor
Accepted January 4, 2012
Published September 6, 2012

Version of record

v1.2

Issue date

September 6, 2012

Language

English

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Article Matrices

Total Score: 108

Country: India

Subject: Global Journal of Computer Science and Technology - C: Software & Data Engineering

Authors: Dr. P.Sampurnima, J Srinivas, Harikrishna (PhD/Dr. count: 1)

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Publish Date: 2012 01, Sun

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Total Views: 2.3K

Total Downloads: 168

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