The clustering algorithm of marine environment vector field data based on “Velocity-Direction” histogram
Junda Zhang, Xiaoan Tang, Libing Jiang · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2013
Clustering is an effective mean for of marine environment data analysis. This paper proposes a clustering algorithm based on the “Velocity-Direction” histogram. First of all, the “Velocity-Direction” histogram is constructed based on the characteristics of marine environment vector field data. Secondly, the exact surface of histogram is reconstructed by the Gaussian kernel function to eliminate the contaminated data points in “Velocity-Direction” histogram. Finally, the FCM algorithm is introduced and modified for the “Velocity-Direction” histogram clustering. The initial number and clustering centers for the FCM algorithm are set as the local extremum in the constructed histogram surfaces. The experiment results based on the simulation and the NOAA marine environment vector field data verifies the effectiveness of the proposed algorithm.