Trajectory clustering method research based on improved Fuzzy C-Means

Abstract

Abstract:

In order to guide the improvement of flight procedures and find the command mode of the controller,this paper firstly analyzes the historical flight path,and categorize the characters by the minimum description length (MDL) theory,then clusters the characters using of the improved Fuzzy C-Means (FCM) method combined with the GA and SA,and receives the trajectory similarity matrix by the longest common subsequence (LCS),lastly generates the mean routs through the trajectory clusters. The simulation tests show that this new methodis quite effective.

Key words: trajectory clustering, GASA algorithm, Fuzzy C-Means, longest common subsequence

CLC Number:

V355

WANG Chao,WANG Ming-ming,WANG Fei. Trajectory clustering method research based on improved Fuzzy C-Means[J]. , 2013, 31(3): 14-18.

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Trajectory clustering method research based on improved Fuzzy C-Means

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