Research and Discussion on the Novel Big Data Clustering Algorithm based on Probability Theory and Nash Game Theory

In this paper, we conduct research on the novel big data clustering algorithm based on probability theory and Nash game theory. Clustering algorithm is an effective method of data analysis, clustering algorithm is without any prior information of data clustering analysis of data and this kind of algorithm is also known as unsupervised learning methods. The Nash game theory and probability enhance the performance of the traditional clustering algorithm. The experiment result proves the feasibility of the combination. We set the schedule and prospect in the final part.