id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_latiqsmi2fdrrd6ije6kneur64	Reza Arfa	Novel trajectory clustering method based on distance dependent Chinese restaurant process	2019	15	.pdf	application/pdf	5956	647	57	Trajectory clustering and path modelling are two core tasks in intelligent transport restaurant process (DDCRP), a trajectory analysis system that simultaneously performs trajectory clustering and path modelling was proposed. Keywords Path modelling, Trajectory clustering, Anomaly detection, Chinese restaurant process, Novel trajectory clustering method based on distance dependent Chinese Most existing trajectory analysis methods can be categorized into similarity-based models When trajectories are clustered, some studies perform path modelling in a further used the weighted average of trajectories of each cluster to form the path model for that All these approaches, however, model the path after the trajectories are clustered. Also, the modelled path is not used to improve the trajectory clustering. trajectories and models the path taken by each cluster at the same time. This paper proposed an unsupervised approach for trajectory clustering and modelling. and usefulness of the proposed algorithm in trajectory clustering and modelling compared DPMM-based method for trajectory clustering, modeling, and retrieval.	./cache/work_latiqsmi2fdrrd6ije6kneur64.pdf	./txt/work_latiqsmi2fdrrd6ije6kneur64.txt