Abstract Aiming at the difficulty of screening abnormal data while analyzing the test data of tactical missile, this paper proposes a novel test data analysis algorithm based on improved Kmeans clustering. By choosing the optimal initial cluster center and rejecting abnormal data, Kmeans clustering method is improved in respect of accuracy and efficiency. The case study indicates that the proposed test data analysis algorithm can complete screening of test data with high efficiency while ensuring certain accuracy, and can assist tactical missile data analysis to a certain extent.
Received: 27 September 2018
Published: 08 January 2020
2019, Vol. 2 
