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Projected compositional reorganization of Southern plant assemblages in South Korea under climate scenarios using species distribution models. [PDF]
Sci RepKim SJ, Lim CH.
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Single Cell Transcriptomic Atlas Reveals Cellular Heterogeneity and Molecular Mechanisms in Pediatric Airway Hyperresponsiveness Epithelium. [PDF]
Int J GenomicsYang W, Mao S, Zhou L.
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Spatiotemporal trajectory clustering: A clustering algorithm for spatiotemporal data
Expert Systems With Applications, 2021Abstract Spatial technologies generate large datasets quickly and continuously. The purpose of this study is to develop a clustering algorithm to mine spatiotemporal co-location events in trajectory datasets. We present a spatiotemporal algorithm for sub-trajectory clustering that divides a trajectory into line segments and groups theses sub ...
Mohd Yousuf Ansari +2 more
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Trajectory clustering for coastal surveillance
2007 10th International Conference on Information Fusion, 2007 Achieving superior situation awareness is a key task for military, as well as civilian, decision makers. Today, automatic systems provide us with an excellent opportunity for assisting the human decision maker in achieving this awareness. Due to the potential of information overload one important aspect is to understand where to focus attention ...
Anders Dahlbom, Lars Niklasson
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A general methodology for n-dimensional trajectory clustering
Expert Systems With Applications, 2015 Trajectory data is rich in dimensionality, often containing valuable patterns in more than just the spatial and temporal dimensions. Yet existing trajectory clustering techniques only consider a fixed number of dimensions. We propose a general trajectory
Luke Bermingham, Ickjai Lee
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Clustering of Vehicle Trajectories
IEEE Transactions on Intelligent Transportation Systems, 2010We present a method that is suitable for clustering of vehicle trajectories obtained by an automated vision system. We combine ideas from two spectral clustering methods and propose a trajectory-similarity measure based on the Hausdorff distance, with modifications to improve its robustness and account for the fact that trajectories are ordered ...
Stefan Atev +2 more
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Clustering uncertain trajectories
Knowledge and Information Systems, 2010Knowledge discovery in Trajectory Databases (TD) is an emerging field which has recently gained great interest. On the other hand, the inherent presence of uncertainty in TD (e.g., due to GPS errors) has not been taken yet into account during the mining process.
Nikos Pelekis +4 more
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Trajectories Modeling and Clustering
Proceedings of the International Conference on Learning and Optimization Algorithms: Theory and Applications, 20181 The location of moving objects facilitates the monitoring of their evolution and the history of displacement offers interesting perspectives in the field of the study of the behavior of these objects. The purpose of this paper is to provide a new methodology for constructing object trajectories based on a matching process that implements different ...
Boutaina Hdioud +2 more
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Proceedings of the 2007 ACM SIGMOD international conference on Management of data, 2007
Existing trajectory clustering algorithms group similar trajectories as a whole, thus discovering common trajectories. Our key observation is that clustering trajectories as a whole could miss common sub-trajectories. Discovering common sub-trajectories is very useful in many applications, especially if we have regions of special interest for analysis.
Lee, Jae-Gil +2 more
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Existing trajectory clustering algorithms group similar trajectories as a whole, thus discovering common trajectories. Our key observation is that clustering trajectories as a whole could miss common sub-trajectories. Discovering common sub-trajectories is very useful in many applications, especially if we have regions of special interest for analysis.
Lee, Jae-Gil +2 more
openaire +1 more source