Corpus ID: 49558879

Clustering with Temporal Constraints on Spatio-Temporal Data of Human Mobility

@article{Wang2018ClusteringWT,
  title={Clustering with Temporal Constraints on Spatio-Temporal Data of Human Mobility},
  author={Yunlong Wang and Bj{\"o}rn Sommer and Falk Schreiber and Harald Reiterer},
  journal={ArXiv},
  year={2018},
  volume={abs/1807.00546}
}
  • Yunlong Wang, Björn Sommer, +1 author Harald Reiterer
  • Published 2018
  • Computer Science, Mathematics
  • ArXiv
  • Extracting significant places or places of interest (POIs) using individuals' spatio-temporal data is of fundamental importance for human mobility analysis. Classical clustering methods have been used in prior work for detecting POIs, but without considering temporal constraints. Usually, the involved parameters for clustering are difficult to determine, e.g., the optimal cluster number in hierarchical clustering. Currently, researchers either choose heuristic values or use spatial distance… CONTINUE READING

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