Abstract: K-means clustering method can estimate the observed clustering signal line direction,using principal component analysis can improve the accuracy and robustness of linear estimation.Under the guidance of this thinking,method of combine K-means clustering with potential function is proposed.Potential function measure the distance of clustering center with all observation points,based on the potential function find clustering center iteration formulas,using this formula to adjust clustering center.The presented algorithm is characterized by high accuracy and less computation.Simulation results illustrate the efficiency and the good performance of the algorithm.