A general methodology for n-dimensional trajectory clustering

作者：

Highlights：

• Propose a robust n-dimensional trajectory clustering framework.

• The framework includes a new representative trajectory formulation method.

• The framework includes a n-dimensional indexing to improve clustering efficiency.

• Provides various supportive benchmarking experimental results.

摘要

•Propose a robust n-dimensional trajectory clustering framework.•The framework includes a new representative trajectory formulation method.•The framework includes a n-dimensional indexing to improve clustering efficiency.•Provides various supportive benchmarking experimental results.

论文关键词：Trajectory clustering,High dimensional clustering,Trajectory data mining

论文评审过程：Available online 15 June 2015, Version of Record 24 June 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.06.014