{"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/validation-of-non-negative-matrix","title":"Validation of non-negative matrix factorization for assessment of atomic pair-distribution function (PDF) data in a real-time streaming context","arxiv_id":"2010.11807","date":"2020-10-22","proceeding":null,"authors":["Chia-Hao Liu","Christopher J. Wright","Ran Gu","Sasaank Bandi","Allison Wustrow","Paul K. Todd","Daniel O'Nolan","Michelle L. Beauvais","James R. Neilson","Peter J. Chupas","Karena W. Chapman","Simon J. L. Billinge"],"abstract":"We validate the use of matrix factorization for the automatic identification of relevant components from atomic pair distribution function (PDF) data. We also present a newly developed software infrastructure for analyzing the PDF data arriving in streaming manner. We then apply two matrix factorization techniques, Principal Component Analysis (PCA) and Non-negative Matrix Factorization (NMF), to study simulated and experiment datasets in the context of in situ experiment.","url_abs":"https://arxiv.org/abs/2010.11807v1","url_pdf":"https://arxiv.org/pdf/2010.11807v1.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":"validation-of-non-negative-matrix","repo_url":"https://github.com/GENESIS-EFRC/streaming-matrix-factorization","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"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}