Parallelization of the Algorithm K-means Applied in Image Segmentation

Descripción del Articulo

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 r...

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Detalles Bibliográficos
Autores: López Del Alamo, Cristian, Romero Calla, Luciano Arnaldo, Fuentes Pérez, Lizeth Joseline
Formato: artículo
Fecha de Publicación:2014
Institución:Universidad La Salle
Repositorio:ULASALLE-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.ulasalle.edu.pe:20.500.12953/11
Enlace del recurso:http://repositorio.ulasalle.edu.pe/handle/20.500.12953/11
Nivel de acceso:acceso restringido
Materia:Procesamiento de Imágenes
Ciencias de la Computación
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dc.title.es_ES.fl_str_mv Parallelization of the Algorithm K-means Applied in Image Segmentation
title Parallelization of the Algorithm K-means Applied in Image Segmentation
spellingShingle Parallelization of the Algorithm K-means Applied in Image Segmentation
López Del Alamo, Cristian
Procesamiento de Imágenes
Ciencias de la Computación
title_short Parallelization of the Algorithm K-means Applied in Image Segmentation
title_full Parallelization of the Algorithm K-means Applied in Image Segmentation
title_fullStr Parallelization of the Algorithm K-means Applied in Image Segmentation
title_full_unstemmed Parallelization of the Algorithm K-means Applied in Image Segmentation
title_sort Parallelization of the Algorithm K-means Applied in Image Segmentation
author López Del Alamo, Cristian
author_facet López Del Alamo, Cristian
Romero Calla, Luciano Arnaldo
Fuentes Pérez, Lizeth Joseline
author_role author
author2 Romero Calla, Luciano Arnaldo
Fuentes Pérez, Lizeth Joseline
author2_role author
author
dc.contributor.author.fl_str_mv López Del Alamo, Cristian
Romero Calla, Luciano Arnaldo
Fuentes Pérez, Lizeth Joseline
dc.subject.es_ES.fl_str_mv Procesamiento de Imágenes
topic Procesamiento de Imágenes
Ciencias de la Computación
dc.subject.ocde.es_ES.fl_str_mv Ciencias de la Computación
description 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.
publishDate 2014
dc.date.accessioned.none.fl_str_mv 2017-08-16T16:35:05Z
dc.date.available.none.fl_str_mv 2017-08-16T16:35:05Z
dc.date.issued.fl_str_mv 2014-01-01
dc.type.es_ES.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.citation.es_ES.fl_str_mv @article{key:article, author = {Cristian José López Del Alamo and Lizeth Joseline Fuentes Pérez 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} }
dc.identifier.uri.none.fl_str_mv http://repositorio.ulasalle.edu.pe/handle/20.500.12953/11
dc.identifier.journal.es_ES.fl_str_mv International Journal of Computer Applications
dc.identifier.doi.es_ES.fl_str_mv 10.5120/15441-4051
identifier_str_mv @article{key:article, author = {Cristian José López Del Alamo and Lizeth Joseline Fuentes Pérez 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} }
International Journal of Computer Applications
10.5120/15441-4051
url http://repositorio.ulasalle.edu.pe/handle/20.500.12953/11
dc.language.iso.eng_US.fl_str_mv eng
language eng
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dc.publisher.es_ES.fl_str_mv International Journal of Computer Applications
dc.source.es_ES.fl_str_mv Repositorio institucional – ULASALLE
Universidad La Salle
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spelling López Del Alamo, CristianRomero Calla, Luciano ArnaldoFuentes Pérez, Lizeth Joseline2017-08-16T16:35:05Z2017-08-16T16:35:05Z2014-01-01@article{key:article, author = {Cristian José López Del Alamo and Lizeth Joseline Fuentes Pérez 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} }http://repositorio.ulasalle.edu.pe/handle/20.500.12953/11International Journal of Computer Applications10.5120/15441-4051Algorithm 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.Doble - Ciegoapplication/mswordengInternational Journal of Computer Applicationsinfo:eu-repo/semantics/restrictedAccesshttps://creativecommons.org/licenses/by-nc-nd/4.0/Repositorio institucional – ULASALLEUniversidad La Sallereponame:ULASALLE-Institucionalinstname:Universidad La Salleinstacron:ULASALLEProcesamiento de ImágenesCiencias de la ComputaciónParallelization of the Algorithm K-means Applied in Image Segmentationinfo:eu-repo/semantics/articleLICENSElicense.txtlicense.txttext/plain; charset=utf-81748http://repositorio.ulasalle.edu.pe/bitstream/20.500.12953/11/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD52TEXTpxc3894051.pdf.txtpxc3894051.pdf.txtExtracted texttext/plain13279http://repositorio.ulasalle.edu.pe/bitstream/20.500.12953/11/3/pxc3894051.pdf.txta45fa65b47a99d76c5c4e2b46c9b2639MD53THUMBNAILpxc3894051.pdf.jpgpxc3894051.pdf.jpgGenerated Thumbnailimage/jpeg1654http://repositorio.ulasalle.edu.pe/bitstream/20.500.12953/11/4/pxc3894051.pdf.jpgfcd0de7c4eeb639b8fc990173af72a24MD5420.500.12953/11oai:repositorio.ulasalle.edu.pe:20.500.12953/112021-06-11 14:39:34.207Repositorio Institucional de la Universidad La Sallerepositorio@ulasalle.edu.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Parallelization of the Algorithm K-means Applied in Image Segmentation
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