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The Application of An Improved K-means Clustering Algorithm in Inertial Navigation System
Received date: 2011-05-16
Online published: 2025-05-29
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.
Key words： high-dimensional data; distribution; K-means clustering; INS
DANG Hongtao , DU Zuliang , YU Xiangtao , WANG Changhong , QU Xueyun . The Application of An Improved K-means Clustering Algorithm in Inertial Navigation System[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2012 , 32(1) : 66 -68 . DOI: 10.15892/j.cnki.djzdxb.2012.01.040
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