{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,10]],"date-time":"2025-12-10T18:42:54Z","timestamp":1765392174239,"version":"3.46.0"},"reference-count":46,"publisher":"Tsinghua University Press","issue":"1","funder":[{"DOI":"10.13039\/501100003453","name":"Natural Science Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2023A1515011667"],"award-info":[{"award-number":["2023A1515011667"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100021171","name":"Guangdong Basic and Applied Basic Research Foundation","doi-asserted-by":"publisher","award":["2023B1515120020"],"award-info":[{"award-number":["2023B1515120020"]}],"id":[{"id":"10.13039\/501100021171","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Big Data Min. Anal."],"published-print":{"date-parts":[[2026,2]]},"DOI":"10.26599\/bdma.2025.9020045","type":"journal-article","created":{"date-parts":[[2025,12,9]],"date-time":"2025-12-09T18:35:44Z","timestamp":1765305344000},"page":"4-22","source":"Crossref","is-referenced-by-count":1,"title":["A Mode-Partitioned Gamma Mixture Model Estimation Method for Large-Scale Multimodal Data"],"prefix":"10.26599","volume":"9","author":[{"given":"Jiaqi","family":"Chen","sequence":"first","affiliation":[{"name":"College of Computer Science and Software Engineering, Shenzhen University,Shenzhen,China,518060"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuyang","family":"Xu","sequence":"additional","affiliation":[{"name":"Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ),Shenzhen,China,518107"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xu","family":"Li","sequence":"additional","affiliation":[{"name":"Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ),Shenzhen,China,518107"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Muhammad","family":"Azhar","sequence":"additional","affiliation":[{"name":"Hong Kong Shue Yan University,Department of Applied Data Science,Hong Kong,China,999077"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"11138","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-statistics-031017-100325"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2021.102844"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58598-3_45"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59713-9_37"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1080\/23322039.2022.2066762"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1002\/for.3154"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1248\/bpb.29.1547"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2018.10.025"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s11222-009-9128-9"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s11121-020-01109-3"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.apm.2023.08.016"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1111\/biom.12351"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1002\/cjs.11246"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s11222-015-9590-5"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1080\/03610926.2016.1277753"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.ecosta.2021.08.011"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2006.254727"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/asq026"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3669942"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s40808-022-01415-5"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3390\/su151310374"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.probengmech.2024.103621"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-7425-8_13"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.13005\/bpj\/2041"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.3390\/computers10010006"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s11634-019-00361-y"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2012.6352257"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/1217\/1\/012077"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.12.042"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.2307\/2984875"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1093\/comnet\/cnad038"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/s00184-021-00856-9"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/s11634-021-00472-5"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/AFRICON55910.2023.10293583"},{"key":"ref35","first-page":"1027","article-title":"k-means++: The advantages of careful seeding","volume-title":"Proc. 18th Annu. ACM-SIAM Symp. Discrete Algorithms","author":"Arthur"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1080\/00031305.2016.1209129"},{"volume-title":"Continuous Multivariate Distributions, Volume 1: Models and Applications","year":"2019","author":"Kotz","key":"ref37"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/BF00048672"},{"volume-title":"MAGIC gamma telescope","year":"2004","author":"Bock","key":"ref39"},{"volume-title":"AI4I 2020 predictive maintenance dataset","year":"2020","key":"ref40"},{"volume-title":"Appliances energy prediction","year":"2017","author":"Candanedo","key":"ref41"},{"volume-title":"HTRU2","year":"2015","author":"Lyon","key":"ref42"},{"volume-title":"Physicochemical properties of protein tertiary structure","year":"2013","author":"Rana","key":"ref43"},{"key":"ref44","first-page":"4751","article-title":"ROME: Robust multimodal density estimator","volume-title":"Proc. 33rd Int. Joint Conf. Artificial Intelligence","author":"M\u00e9sz\u00e1ros"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1145\/304181.304187"},{"key":"ref46","first-page":"108","article-title":"API design for machine learning software: Experiences from the scikit-learn project","volume-title":"Proc. ECML PKDD Workshop: Languages for Data Mining and Machine Learning","author":"Buitinck"}],"container-title":["Big Data Mining and Analytics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/8254253\/11293067\/11293090.pdf?arnumber=11293090","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,10]],"date-time":"2025-12-10T18:34:58Z","timestamp":1765391698000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11293090\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,2]]},"references-count":46,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.26599\/bdma.2025.9020045","relation":{},"ISSN":["2096-0654","2097-406X"],"issn-type":[{"type":"print","value":"2096-0654"},{"type":"electronic","value":"2097-406X"}],"subject":[],"published":{"date-parts":[[2026,2]]}}}