A trajectory clustering method based on Douglas-Peucker compression and density for marine traffic pattern recognition

Research article (Ocean Engineering, 2018) · cited 143× · AI/ML
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A trajectory clustering method based on Douglas-Peucker compression and density for marine traffic pattern recognition is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A trajectory clustering method based on Douglas-Peucker compression and density for marine traffic pattern recognition. Retrieved October 18, 2026, from https://4ort.xyz/entity/a-trajectory-clustering-method-based-on-douglas-peucker-compression-and-density-for-marine-traffic-pattern-recognition
MLA “A trajectory clustering method based on Douglas-Peucker compression and density for marine traffic pattern recognition.” 4ort.xyz Knowledge Graph, 4ort.xyz, 18 Oct. 2026, https://4ort.xyz/entity/a-trajectory-clustering-method-based-on-douglas-peucker-compression-and-density-for-marine-traffic-pattern-recognition.
BibTeX @misc{4ortxyz_a-trajectory-clustering-method-based-on-douglas-peucker-compression-and-density-for-marine-traffic-pattern-recognition_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A trajectory clustering method based on Douglas-Peucker compression and density for marine traffic pattern recognition}}, year = {2026}, url = {https://4ort.xyz/entity/a-trajectory-clustering-method-based-on-douglas-peucker-compression-and-density-for-marine-traffic-pattern-recognition}, note = {Accessed: 2026-10-18}}
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