Parallelization of K-Means Clustering Algorithm for Data Mining

Hao Jiang, Liyan Yu · ITM Web of Conferences · 2017

In this paper, we studied the parallelization of K-Means clustering algorithm, proposed a parallel scheme, designed a corresponding algorithm, and implemented the algorithm in GPU environment. The experimental result shows that the GPU-based parallelization algorithm has a good acceleration effect compared with the CPU-based serialization algorithm.

Read the paper · More papers on PaperTik