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Now with the explosive growth of data,there are a lot of problems such as complexity and lack of computing resources in cluster research . The cloud computing platform breaks the state of high energy-consuming and shows the advantages in the massive data mining through load balance and dynamic configuration of virtual computing resources. The parallel K-means algorithm based on Hadoop platform was designed .The algorithm methods and strategies were shown combined with MapReduce distributed computing model including map, shuffle and Reduce. Simulation results show that the parallel K-means algorithm has strong computing efficiency.