Parallelization of the Algorithm K-means Applied in Image Segmentation

dc.creatorLópez Del Alamo, Cristian
dc.creatorRomero Calla, Luciano Arnaldo
dc.creatorFuentes Pérez, Lizeth Joseline
dc.date.accessioned2017-08-16T16:35:05Z
dc.date.accessioned2023-06-01T13:53:45Z
dc.date.available2017-08-16T16:35:05Z
dc.date.available2023-06-01T13:53:45Z
dc.date.created2017-08-16T16:35:05Z
dc.date.issued2014-01-01
dc.identifier@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.identifierhttp://repositorio.ulasalle.edu.pe/handle/20.500.12953/11
dc.identifierInternational Journal of Computer Applications
dc.identifier10.5120/15441-4051
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/6517144
dc.description.abstractAlgorithm 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.
dc.languageeng
dc.publisherInternational Journal of Computer Applications
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.sourceRepositorio institucional – ULASALLE
dc.sourceUniversidad La Salle
dc.subjectProcesamiento de Imágenes
dc.titleParallelization of the Algorithm K-means Applied in Image Segmentation
dc.typeinfo:eu-repo/semantics/article


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