{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/review-and-perspective-for-distance-based","title":"Review and Perspective for Distance Based Trajectory Clustering","arxiv_id":"1508.04904","date":"2015-08-20","proceeding":null,"authors":["Philippe Besse","Brendan Guillouet","Jean-Michel Loubes","Royer François"],"abstract":"In this paper we tackle the issue of clustering trajectories of geolocalized\nobservations. Using clustering technics based on the choice of a distance\nbetween the observations, we first provide a comprehensive review of the\ndifferent distances used in the literature to compare trajectories. Then based\non the limitations of these methods, we introduce a new distance : Symmetrized\nSegment-Path Distance (SSPD). We finally compare this new distance to the\nothers according to their corresponding clustering results obtained using both\nhierarchical clustering and affinity propagation methods.","url_abs":"http://arxiv.org/abs/1508.04904v1","url_pdf":"http://arxiv.org/pdf/1508.04904v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"review-and-perspective-for-distance-based","repo_url":"https://github.com/bguillouet/traj-dist","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"clustering","task_name":"Clustering"},{"task_slug":"trajectory-clustering","task_name":"Trajectory Clustering"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1508.04904","atlas_url":"https://app.syntology.ai/?focus=1508.04904","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}