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Parallelization of the Algorithm K-means Applied in Image Segmentation

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International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 88 - Number 17
Year of Publication: 2014
Authors:
Cristian Jose´ Lo´pez Del A´ Lamo
Lizeth Joseline Fuentes P´erez
Luciano Arnaldo Romero Calla
10.5120/15441-4051

Cristian Jose Lopez Del A Lamo, Lizeth Joseline Fuentes Perez and Luciano Arnaldo Romero Calla. Article: Parallelization of the Algorithm K-means Applied in Image Segmentation. International Journal of Computer Applications 88(17):1-4, February 2014. Full text available. BibTeX

@article{key:article,
	author = {Cristian Jose Lopez Del A Lamo and Lizeth Joseline Fuentes Perez and Luciano Arnaldo Romero Calla},
	title = {Article: Parallelization of the Algorithm K-means Applied in Image Segmentation},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {88},
	number = {17},
	pages = {1-4},
	month = {February},
	note = {Full text available}
}

Abstract

Algorithm k-means is useful for grouping operations; however, when is applied to large amounts of data, its computational cost is high. This research propose an optimization of k-means algorithm by using parallelization techniques and synchronization, which is applied to image segmentation. In the results obtained, the parallel k-means algorithm, improvement 50% to the algorithm sequential k-means.

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