A Novel Analysis of Clustering for Minimum Spanning Tree using Divide & Conquer Technique

Velicheti Bharath

A Novel Analysis of Clustering for Minimum Spanning Tree using Divide & Conquer Technique

Velicheti Bharath * §

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§ Mallareddy Institute of Engineering and Technology

A Novel Analysis of Clustering for Minimum Spanning Tree using Divide & Conquer Technique

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Abstract

Because of their capability to distinguish groups with sporadic limits, least spanning treebased grouping calculations have been generally utilized within practice. Be that as it may, in such bunching calculations, the quest for closest neighbour in the development of least spanning trees is the primary wellspring of processing and the standard results take O(N 2) time. In this paper, we exhibit a quick least spanning tree-motivated grouping calculation, which, by utilizing a proficient execution of the cut and the cycle property of the least spanning trees, can have much preferable execution than O(N 2 ).

References

11 Cites in Article

Reference Format

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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

Velicheti Bharath. 2013. "A Novel Analysis of Clustering for Minimum Spanning Tree using Divide & Conquer Technique". Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 13 (GJCST Volume 13 Issue E14).

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GJCST Volume 13 Issue E14

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Clustering conquer grouping spanning tree

Classification

GJCST-E Classification C.2.4

Submission ReceivedDecember 6, 2012
Peer Review Double Blind
Handling Editor
Accepted December 31, 2012
Published January 15, 2013

Version of record

v1.2

Issue date

October 19, 2013

Language

English

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Article Matrices

Total Score: 142

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Velicheti Bharath, Ch. Praveen (PhD/Dr. count: 0)

View Count (all-time): 400

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Total Downloads (simulated): 194

Publish Date: 2013 01, Tue

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Total Views: 3.1K

Total Downloads: 194

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