{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,14]],"date-time":"2026-01-14T23:08:38Z","timestamp":1768432118507,"version":"3.49.0"},"reference-count":56,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Universitas Indonesia International Indexed Publication\/Publikasi Terindeks Internasional (PUTI) Q1 Research","award":["2020-2021"],"award-info":[{"award-number":["2020-2021"]}]},{"name":"Universitas Indonesia International Indexed Publication\/Publikasi Terindeks Internasional (PUTI) Q1 Research","award":["NKB-3885\/UN2.RST\/HKP.05.00\/2020"],"award-info":[{"award-number":["NKB-3885\/UN2.RST\/HKP.05.00\/2020"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/access.2022.3213674","type":"journal-article","created":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T20:08:36Z","timestamp":1665432516000},"page":"189449-189476","source":"Crossref","is-referenced-by-count":1,"title":["Generating Multi-Codebook Neural Network by Using Intelligent Gaussian Mixture Model Clustering Based on Histogram Information for Multi-Modal Data Classification"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9251-7781","authenticated-orcid":false,"given":"M. Anwar","family":"Ma\u2019Sum","sequence":"first","affiliation":[{"name":"Faculty of Computer Science, Universitas Indonesia, Kampus UI, Depok City, Jawa Barat, Indonesia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5990-0930","authenticated-orcid":false,"given":"Noverina","family":"Alfiany","sequence":"additional","affiliation":[{"name":"Faculty of Computer Science, Universitas Indonesia, Kampus UI, Depok City, Jawa Barat, Indonesia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0530-7955","authenticated-orcid":false,"given":"Wisnu","family":"Jatmiko","sequence":"additional","affiliation":[{"name":"Faculty of Computer Science, Universitas Indonesia, Kampus UI, Depok City, Jawa Barat, Indonesia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICACSIS.2013.6761569"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2008.08.001"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2007.III.041"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2798607"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2515606"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2017.08.003"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-013-9619-2"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-012-9332-4"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/1456650.1456657"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11945"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3351529.3360658"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2014.10.005"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s00530-010-0182-0"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICACSIS.2015.7415193"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.3390\/sym12040679"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.06.084"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2017.02.004"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.2307\/2346830"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.2307\/2532201"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s00357-010-9049-5"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/IWBIS.2018.8471699"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/21.97458"},{"issue":"22","key":"ref23","first-page":"41","article-title":"An empirical study of the naive Bayes classifier","volume-title":"Proc. IJCAI Workshop Empirical Methods Artif. Intell.","volume":"3","author":"Rish"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1162\/089976603322385108"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/72.159058"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/BF00058655"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.29172\/7c2a6982-6d72-4cd8-bba6-2fccb06a7011"},{"key":"ref28","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2014","journal-title":"arXiv:1409.1556"},{"key":"ref29","first-page":"385","article-title":"Arrhytmia classification using fuzzy-neuro generalized learning vector quantization","volume-title":"Proc. Int. Conf. Adv. Comput. Sci. Inf. Syst.","author":"Setiawan"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-97610-0_6"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.1998.711145"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2011.01.008"},{"key":"ref33","first-page":"409","article-title":"Incremental and decremental support vector machine learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Cauwenberghs"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0093600"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2007.02.009"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/IWBIS.2017.8275106"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2014.10.050"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/S0019-0578(07)60097-4"},{"issue":"12","key":"ref39","first-page":"1239","article-title":"Fuzzy learning vector quantization based on particle swarm optimization for artificial odor dicrimination system","volume":"8","author":"Jatmiko","year":"2009","journal-title":"Wseas Trans. Syst."},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICSMC.2012.6377692"},{"key":"ref41","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NIPS)","volume":"25","author":"Krizhevsky"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00907"},{"key":"ref45","article-title":"MobileNets: Efficient convolutional neural networks for mobile vision applications","author":"Howard","year":"2017","journal-title":"arXiv:1704.04861"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380214"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2020.2965328"},{"key":"ref48","first-page":"1","article-title":"Adversarial learning for robust deep clustering","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Yang"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1080\/10618600.2019.1624366"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2021.01.010"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01102"},{"key":"ref52","first-page":"1","article-title":"Partially view-aligned clustering","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Huang"},{"key":"ref53","first-page":"5092","article-title":"COMIC: Multi-view clustering without parameter selection","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Peng"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2018-2148"},{"key":"ref55","volume-title":"Statistical Methods for Psychology","author":"Howell","year":"2012"},{"key":"ref56","first-page":"5187","article-title":"Quantum expectation-maximization for Gaussian mixture models","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Kerenidis"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/10380310\/09915604.pdf?arnumber=9915604","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,20]],"date-time":"2024-12-20T06:51:01Z","timestamp":1734677461000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9915604\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":56,"URL":"https:\/\/doi.org\/10.1109\/access.2022.3213674","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}