{"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/distance-based-classifier-by-data","title":"Distance-based classifier by data transformation for high-dimension, strongly spiked eigenvalue models","arxiv_id":"1710.10768","date":"2017-10-30","proceeding":null,"authors":["Makoto Aoshima","Kazuyoshi Yata"],"abstract":"We consider classifiers for high-dimensional data under the strongly spiked\neigenvalue (SSE) model. We first show that high-dimensional data often have the\nSSE model. We consider a distance-based classifier using eigenstructures for\nthe SSE model. We apply the noise reduction methodology to estimation of the\neigenvalues and eigenvectors in the SSE model. We create a new distance-based\nclassifier by transforming data from the SSE model to the non-SSE model. We\ngive simulation studies and discuss the performance of the new classifier.\nFinally, we demonstrate the new classifier by using microarray data sets.","url_abs":"http://arxiv.org/abs/1710.10768v1","url_pdf":"http://arxiv.org/pdf/1710.10768v1.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":"distance-based-classifier-by-data","repo_url":"https://github.com/keisuke6616/Distance-based-classifier-by-data-transformation-for-high-dimension-strongly-spiked-eigenvalue-mode","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}