• Corpus ID: 219260453

An Alternative Metric for Detecting Anomalous Ship Behavior Using a Variation of the DBSCAN Clustering Algorithm

@article{Botts2020AnAM,
  title={An Alternative Metric for Detecting Anomalous Ship Behavior Using a Variation of the DBSCAN Clustering Algorithm},
  author={C. Botts},
  journal={arXiv: Methodology},
  year={2020}
}
  • C. Botts
  • Published 2 June 2020
  • Mathematics, Computer Science
  • arXiv: Methodology
There is a growing need to quickly and accurately identify anomalous behavior in ships. This paper applies a variation of the Density Based Spatial Clustering Among Noise (DBSCAN) algorithm to identify such anomalous behavior given a ship's Automatic Identification System (AIS) data. This variation of the DBSCAN algorithm has been previously introduced in the literature, and in this study, we elucidate and explore the mathematical details of this algorithm and introduce an alternative anomaly… 

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