Aiming at the shortcomings of the traditional track clustering methods, an aerial target track clustering method is proposed. Firstly, an adaptive track fitting algorithm is proposed to extract the track features of the air target. Then, based on the extracted track features, a track clustering method based on k-means algorithm is proposed. By clustering the track feature points and fitting curve coefficients, the same kind of tracks are clustered to form similar track clusters. Finally, the effectiveness of the clustering method is verified by simulations.