International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 88 - Issue 17 |
Published: February 2014 |
Authors: Cristian Jose´ Lo´Pez Del A´ Lamo, Lizeth Joseline Fuentes P´Erez, Luciano Arnaldo Romero Calla |
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Cristian Jose´ Lo´Pez Del A´ Lamo, Lizeth Joseline Fuentes P´Erez, Luciano Arnaldo Romero Calla . Parallelization of the Algorithm K-means Applied in Image Segmentation. International Journal of Computer Applications. 88, 17 (February 2014), 1-4. DOI=10.5120/15441-4051
@article{ 10.5120/15441-4051, author = { Cristian Jose´ Lo´Pez Del A´ Lamo,Lizeth Joseline Fuentes P´Erez,Luciano Arnaldo Romero Calla }, title = { 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 }, doi = { 10.5120/15441-4051 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2014 %A Cristian Jose´ Lo´Pez Del A´ Lamo %A Lizeth Joseline Fuentes P´Erez %A Luciano Arnaldo Romero Calla %T Parallelization of the Algorithm K-means Applied in Image Segmentation%T %J International Journal of Computer Applications %V 88 %N 17 %P 1-4 %R 10.5120/15441-4051 %I Foundation of Computer Science (FCS), NY, USA
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.