Research on Parallel CKLDC-means Clustering Algorithm Based on Hadoop Platform

The rapid development of cloud computing and Internet of Things technology has caused the explosive growth of data scale and the high complexity of data models, leading to cluster research facing many new problems and challenges, such as massive data and new computing environments. This paper deeply studies the parallel CKLDC-means clustering algorithm based on Hadoop platform, and gives the algorithm design method and strategy. Experiments on multiple data sets of different sizes show that the designed parallel clustering algorithm has a good acceleration ratio and expansion rate, and is suitable for the analysis and mining of massive data.