{"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/links-a-high-dimensional-online-clustering","title":"Links: A High-Dimensional Online Clustering Method","arxiv_id":"1801.10123","date":"2018-01-30","proceeding":null,"authors":["Philip Andrew Mansfield","Quan Wang","Carlton Downey","Li Wan","Ignacio Lopez Moreno"],"abstract":"We present a novel algorithm, called Links, designed to perform online\nclustering on unit vectors in a high-dimensional Euclidean space. The algorithm\nis appropriate when it is necessary to cluster data efficiently as it streams\nin, and is to be contrasted with traditional batch clustering algorithms that\nhave access to all data at once. For example, Links has been successfully\napplied to embedding vectors generated from face images or voice recordings for\nthe purpose of recognizing people, thereby providing real-time identification\nduring video or audio capture.","url_abs":"http://arxiv.org/abs/1801.10123v1","url_pdf":"http://arxiv.org/pdf/1801.10123v1.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":"links-a-high-dimensional-online-clustering","repo_url":"https://github.com/QEDan/links_clustering","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"clustering","task_name":"Clustering"},{"task_slug":"online-clustering","task_name":"Online Clustering"},{"task_slug":"high","task_name":"Vocal Bursts Intensity Prediction"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}