Abstract: The problems with the k-means algorithm that the optimization effect of similarity measure and criterion function is not ideal and the analysis performance of multi-dimensional manifold data is ineffective, a modified version based on Finsler geometry was proposed, which introduces Finsler metric. Experimental results in comparison with traditional k-means algorithm and SBKM algorithm on UCI data sets and ORL face image sets show the feasibility and effectiveness of the algorithm.