Mixed EM algorithm for large data sets
一种适合于大数据集处理的混合EM算法

EM algorithm often needs great computational costs. And its computing is inefficient when the data sets are large. A mixed EM algorithm based on partial E-steps method was presented which can reduce the intensity of computation, make it adapted to the scale of data sets better and have the standard convergence guarantee of EM. It is verified that the mixed EM algorithm can reduce computational costs evidently through its application to large data sets.