IBVis: Interactive Visual Analytics for Information Bottleneck Based Trajectory Clustering [PDF]
Entropy, 2018 Analyzing trajectory data plays an important role in practical applications, and clustering is one of the most widely used techniques for this task. The clustering approach based on information bottleneck (IB) principle has shown its effectiveness for ...
Yuejun Guo, Qing Xu, Mateu Sbert
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An Adaptive Trajectory Clustering Method Based on Grid and Density in Mobile Pattern Analysis [PDF]
Sensors, 2017 Clustering analysis is one of the most important issues in trajectory data mining. Trajectory clustering can be widely applied in the detection of hotspots, mobile pattern analysis, urban transportation control, and hurricane prediction, etc.
Yingchi Mao +4 more
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Novel trajectory clustering method based on distance dependent Chinese restaurant process [PDF]
PeerJ Computer Science, 2019 Trajectory clustering and path modelling are two core tasks in intelligent transport systems with a wide range of applications, from modeling drivers’ behavior to traffic monitoring of road intersections. Traditional trajectory analysis considers them as
Reza Arfa +2 more
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A Clustering Ensemble Method of Aircraft Trajectory Based on the Similarity Matrix
Aerospace, 2022 Performing clustering analysis on a large amount of historical trajectory data can obtain information such as frequent flight patterns of aircraft and air traffic flow distribution, which can provide a reference for the revision of standard flight ...
Xiao Chu, Xianghua Tan, Weili Zeng
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A Dimensionality Reduction-Based Multi-Step Clustering Method for Robust Vessel Trajectory Analysis
Sensors, 2017 The Shipboard Automatic Identification System (AIS) is crucial for navigation safety and maritime surveillance, data mining and pattern analysis of AIS information have attracted considerable attention in terms of both basic research and practical ...
Huanhuan Li +5 more
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Taxi Passenger Trajectory Clustering Algorithm Based on Density Core [PDF]
Jisuanji gongcheng, 2021 The existing trajectory clustering methods are mostly based on OPTICS,DBSCAN,and K-means clustering algorithms,etc.,but their time complexity soars with the increase of the number of trajectories.To address the problem,this paper proposes a trajectory ...
TIAN Zhihui, MA Zhanyu, WEI Haitao
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Study on Air Traffic Flow Recognition and Anomaly Detection Based on Deep Clustering [PDF]
Jisuanji kexue, 2023 Aiming at the problem that traditional clustering algorithms cannot capture the implicit relationship of high-dimen-sional trajectory data in low-dimensional space,and it is difficult to define appropriate similarity measures to consider both local and ...
RAO Dan, SHI Hongwei
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Trajectory clustering algorithm of wargaming system based on space-time and combat grouping [PDF]
Zhihui kongzhi yu fangzhen, 2023 In view of the complicated information of wargaming system, which is not conducive for users to understand the combat situation, a trajectory clustering algorithm CTUW (clustering trajectories of units in wargame) based on space-time and combat grouping ...
WAN Yi-chun, CHEN Zhi-long, HE Chang-qi, HU Shui
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KSDP scheme for trajectory data publishing
Shenzhen Daxue xuebao. Ligong ban, 2023 For clustering applications in the field of trajectory privacy protection, the k-means algorithm is sensitive to initial values and the number of clusters may be somewhat arbitrary.
ZHANG Jun +4 more
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Multi-Density Adaptive Trajectory Clustering Algorithm for Ships Based on AIS Data
IEEE Access, 2023 Automatic Identification System (AIS) can obtain a large amount of data on ship trajectories and movement characteristics, which provides data support for ship route planning, navigation safety, and maritime traffic control.
Yingjian Zhang +4 more
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