A dimensionality reduction-based multi-step clustering method for robust vessel trajectory analysis

Sensors (Switzerland)

Volumn 17, Issue 8, 2017, Pages

  Li, Huanhuan ^a   Liu, Jingxian ^a,b   Liu, Ryan Wen ^a   Xiong, Naixue ^c   Wu, Kefeng ^d   Kim, Tai Hoon ^e  

^a WUHAN UNIVERSITY OF TECHNOLOGY   (China)

^b National Engineering Research Center for Water Transport Safety   (China)

^c NORTHEASTERN STATE UNIVERSITY   (United States)

^d HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^e Sungshin Women's University   (South Korea)

Author keywords

DTW; PCA; Spectral clustering; The improved center clustering algorithm; Vessel trajectory clustering

Indexed keywords

AUTOMATION; CLUSTER ANALYSIS; DATA MINING; MATRIX ALGEBRA; MINE TRANSPORTATION; PRINCIPAL COMPONENT ANALYSIS; REDUCTION; TRAJECTORIES; TRANSPORTATION ROUTES;

ACCUMULATIVE CONTRIBUTION RATES; AFFINITY PROPAGATION CLUSTERING; AUTOMATIC IDENTIFICATION SYSTEM; DIMENSIONALITY REDUCTION; QUALITATIVE EVALUATIONS; SIMILARITY MEASUREMENTS; SPECTRAL CLUSTERING; VESSEL TRAJECTORY;

CLUSTERING ALGORITHMS;

ARTICLE; CLUSTERING ALGORITHM; DECOMPOSITION; DYNAMIC TIME WARPING; MISSISSIPPI; PRINCIPAL COMPONENT ANALYSIS; QUALITATIVE ANALYSIS; QUANTITATIVE ANALYSIS; RIVER;

EID: 85026900965     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s17081792     Document Type: Article

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