{"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/relaxed-oracles-for-semi-supervised","title":"Relaxed Oracles for Semi-Supervised Clustering","arxiv_id":"1711.07433","date":"2017-11-20","proceeding":null,"authors":["Taewan Kim","Joydeep Ghosh"],"abstract":"Pairwise \"same-cluster\" queries are one of the most widely used forms of\nsupervision in semi-supervised clustering. However, it is impractical to ask\nhuman oracles to answer every query correctly. In this paper, we study the\ninfluence of allowing \"not-sure\" answers from a weak oracle and propose an\neffective algorithm to handle such uncertainties in query responses. Two\nrealistic weak oracle models are considered where ambiguity in answering\ndepends on the distance between two points. We show that a small query\ncomplexity is adequate for effective clustering with high probability by\nproviding better pairs to the weak oracle. Experimental results on synthetic\nand real data show the effectiveness of our approach in overcoming supervision\nuncertainties and yielding high quality clusters.","url_abs":"http://arxiv.org/abs/1711.07433v1","url_pdf":"http://arxiv.org/pdf/1711.07433v1.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":"relaxed-oracles-for-semi-supervised","repo_url":"https://github.com/twankim/weaksemi","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"clustering","task_name":"Clustering"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}