2022
DOI: 10.1109/jsen.2021.3129200
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Semantic Trajectory Clustering via Improved Label Propagation With Core Structure

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Cited by 7 publications
(3 citation statements)
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“…During clustering, Wang et al's suggested trajectory similarity assessment methodology [17] accounted for trajectories' form characteristics in addition to their temporal and spatial components. A semantic trajectory clustering approach that combines the similarity matrix with the k-NN algorithm was outlined by Qiao et al [18]. Xu et al [19] proposed a trajectory clustering algorithm which considers semantic and geographical distances.…”
Section: Background and Related Work 21 Trajectory Clusteringmentioning
confidence: 99%
See 1 more Smart Citation
“…During clustering, Wang et al's suggested trajectory similarity assessment methodology [17] accounted for trajectories' form characteristics in addition to their temporal and spatial components. A semantic trajectory clustering approach that combines the similarity matrix with the k-NN algorithm was outlined by Qiao et al [18]. Xu et al [19] proposed a trajectory clustering algorithm which considers semantic and geographical distances.…”
Section: Background and Related Work 21 Trajectory Clusteringmentioning
confidence: 99%
“…We utilize location data with semantic tagging, as established in our previous research [40,41], given the absence of an approach to group users within the Geolife datasets into diverse clusters. This experiment aims to compare the performance of trajectory clustering and privacy security for ILP [18], BU [42], SP-tree [43], DP-LTOD [19], N-gram [44], and NPT [45], respectively.…”
Section: Evaluation Metricsmentioning
confidence: 99%
“…Considering the important role of the semantic layer for target behaviour analysis, scholars have semantically enriched trajectory [6][7][8] and explored semantic representation methods [9][10][11]. On this basis, some scholars performed the cluster analysis [12][13][14] of trajectory points by clustering around discrete semantic information, such as geographic tags [15] and attribute tags [16]. However, the semantic trajectory clustering analysis method did not identify the way that the moving target interacts with the environment, and the recognition of the moving target's behaviour is the key to analyse and judge the target situation.…”
Section: Related Workmentioning
confidence: 99%