基于R语言的混合型聚类算法的研究与实现

With the rapid development of information technology, the era of big data has arrived, analysis of the data has become the focus of research, data mining is to become a top priority,and has been extensively studied. Currently, a single data mining algorithm is relatively mature, the application of technology is also more diverse, but with the cumbersome and complex data traffic, more flexible application and cooperation. is much needed in the practical application of the algorithm. This paper aims to study the clustering algorithm, optimizing the partitioning algorithm and hierarchical algorithm based on aggregation, then merging them, in order to achieve complementary advantages, improving the algorithm efficiency. Finally, simulation experiments confirm the effectiveness and feasibility of the proposed algorithm.