info:eu-repo/semantics/article
Parallelization of the Algorithm K-means Applied in Image Segmentation
Fecha
2014-01-01Registro en:
@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
Autor
López Del Alamo, Cristian
Romero Calla, Luciano Arnaldo
Fuentes Pérez, Lizeth Joseline
Institución
Resumen
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.