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Parallel Algorithm for the Chameleon Clustering Algorithm using Dynamic Modeling

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International Journal of Computer Applications
© 2013 by IJCA Journal
Volume 79 - Number 8
Year of Publication: 2013
Authors:
Rajnish Dashora
Harsh Bajaj
Akshat Dube
Geetha Mary. A
10.5120/13760-1600

Rajnish Dashora, Harsh Bajaj, Akshat Dube and Geetha Mary. A. Article: Parallel Algorithm for the Chameleon Clustering Algorithm using Dynamic Modeling. International Journal of Computer Applications 79(8):11-17, October 2013. Full text available. BibTeX

@article{key:article,
	author = {Rajnish Dashora and Harsh Bajaj and Akshat Dube and Geetha Mary. A},
	title = {Article: Parallel Algorithm for the Chameleon Clustering Algorithm using Dynamic Modeling},
	journal = {International Journal of Computer Applications},
	year = {2013},
	volume = {79},
	number = {8},
	pages = {11-17},
	month = {October},
	note = {Full text available}
}

Abstract

With the increasing size of data-sets in application areas like bio-medical, hospitals, information systems, scientific data processing and predictions, finance analytics, communications, retail and marketing, it is becoming increasingly important to execute data mining tasks in parallel. At the same time, technological advancements have made shared memory-parallel computation machines commonly available to various organizations and individuals. This paper analyzes a hierarchical clustering algorithm named chameleon clustering which is based on dynamic modeling and we propose a parallel algorithm for the same. The algorithm utilizes the concept of parallel processors available and hence reduces the time to generate final clusters.

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