The Application of An Improved K-means Clustering Algorithm in Inertial Navigation System

To improve the precision of high-dimensional data cluster,an improved K-means clustering algorithm based on data distribution was proposed.The distribution of high-dimensional data was found by the K-means clustering method.The clustering accuracy of the data was corrected by the clustering factor.The proposed method is applied in the platform inertial navigation system(INS);the results show that the method is good for calibration data clustering and evaluation.