Research and implementation of K-means algorithm based on Hama

Clustering is one of the important unsupervised machine learning methods in data mining. In the cases of massive data, existing clustering algorithm’s time complexity and space complexity encountered a bottleneck, which demands the study of the field of parallelizing clustering algorithms.