Results 11 to 20 of about 76,600 (295)
Incremental Clustering for Trajectories [PDF]
, 2010 Trajectory clustering has played a crucial role in data analysis since it reveals underlying trends of moving objects. Due to their sequential nature, trajectory data are often received incrementally, e.g., continuous new points reported by GPS system. However, since existing trajectory clustering algorithms are developed for static datasets, they are ...
Li, Z. Li, Zhenhui +3 more
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Distribution-Based Trajectory Clustering
2023 IEEE International Conference on Data Mining (ICDM), 2023 Trajectory clustering enables the discovery of common patterns in trajectory data. Current methods of trajectory clustering rely on a distance measure between two points in order to measure the dissimilarity between two trajectories. The distance measures employed have two challenges: high computational cost and low fidelity.
Zijing Wang, Ye Zhu 0002, Kai Ming Ting
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PARALLEL SPATIOTEMPORAL SPECTRAL CLUSTERING WITH MASSIVE TRAJECTORY DATA [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 Massive trajectory data contains wealth useful information and knowledge. Spectral clustering, which has been shown to be effective in finding clusters, becomes an important clustering approaches in the trajectory data mining.
Y. Z. Gu +5 more
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Ship Trajectory Clustering Based on Trajectory Resampling and Enhanced BIRCH Algorithm
Journal of Marine Science and Engineering, 2023 Automatic identification systems (AIS) provides massive ship trajectory data for maritime traffic management, route planning, and other research. In order to explore the valuable ship traffic characteristics contained implicitly in massive AIS data, a ...
Zhaojin Yan +5 more
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Trajectory clustering for motion prediction [PDF]
2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012 We investigate a data-driven approach to robotic path planning and analyze its performance in the context of interception tasks. Trajectories of moving objects often contain repeated patterns of motion, and learning those patterns can yield interception paths that succeed more often.
Sung, Cynthia +2 more
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Non-Convex Metric Learning-Based Trajectory Clustering Algorithm
MathematicsTo address the issue of suboptimal clustering performance arising from the limitations of distance measurement in traditional trajectory clustering methods, this paper presents a novel trajectory clustering strategy that integrates the bag-of-words model
Xiaoyan Lei, Hongyan Wang
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Trajectory Clustering For Automatic Speech Recognition [PDF]
, 2005 4 p.
Han, Y., Veth, J.M. de, Boves, L.W.J.
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Trajectory clustering algorithm based on structural similarity
Tongxin xuebao, 2011 For current trajectory clustering algorithms,most of them group full trajectories as basic units,and lead the low efficient results.Aiming at this problem,a trajectory clustering algorithm based on structural similarity was proposed.By introducing a new ...
YUAN Guan +3 more
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Trajectory Clustering for Air Traffic Categorisation [PDF]
, 2022 Availability of different types of data and advances in data-driven techniques open the path to more detailed analyses of various phenomena. Here, we examine the insights that can be gained through the analysis of historical flight trajectories, using ...
De Lorenzo, A. +3 more
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Aerospace, 2021 The aircraft trajectory clustering analysis in the terminal airspace is conducive to determining the representative route structure of the arrival and departure trajectory and extracting their typical patterns, which is important for air traffic ...
Weili Zeng +4 more
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