{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,1,17]],"date-time":"2025-01-17T08:40:21Z","timestamp":1737103221303,"version":"3.33.0"},"reference-count":34,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,12,15]],"date-time":"2024-12-15T00:00:00Z","timestamp":1734220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,12,15]],"date-time":"2024-12-15T00:00:00Z","timestamp":1734220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004608","name":"Natural Science Foundation of Jiangsu Province","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004608","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,12,15]]},"DOI":"10.1109\/bigdata62323.2024.10825789","type":"proceedings-article","created":{"date-parts":[[2025,1,16]],"date-time":"2025-01-16T18:31:23Z","timestamp":1737052283000},"page":"1144-1150","source":"Crossref","is-referenced-by-count":0,"title":["Incomplete Multi-Kernel k-Means Clustering With Fractional-Order Embedding"],"prefix":"10.1109","author":[{"given":"Deheng","family":"Xu","sequence":"first","affiliation":[{"name":"Yangzhou University,School of Information Engineering,Yangzhou,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yun","family":"Li","sequence":"additional","affiliation":[{"name":"Yangzhou University,School of Information Engineering,Yangzhou,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yun-Hao","family":"Yuan","sequence":"additional","affiliation":[{"name":"Yangzhou University,School of Information Engineering,Yangzhou,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jipeng","family":"Qiang","sequence":"additional","affiliation":[{"name":"Yangzhou University,School of Information Engineering,Yangzhou,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yi","family":"Zhu","sequence":"additional","affiliation":[{"name":"Yangzhou University,School of Information Engineering,Yangzhou,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","first-page":"1061","article-title":"A sift-lbp image retrieval model based on bag of features","volume-title":"Proceedings of IEEE International Conference on Image Processing (ICIP)","author":"Yuan"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/279943.279962"},{"key":"ref3","first-page":"3476","article-title":"Robust multiple kernel k-means using l2,1 norm","volume-title":"Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI)","author":"Du"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2016.2607842"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2754939"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2922042"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553391"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.185"},{"key":"ref9","first-page":"1413","article-title":"Co-regularized multi-view spectral clustering","volume-title":"Proceedings of the 25th Annual Conference on Neural Information Processing Systems (NIPS)","author":"Kumar"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.461"},{"key":"ref11","first-page":"2598","article-title":"Multi-view k-means clustering on big data","volume-title":"Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI)","author":"Cai"},{"key":"ref12","first-page":"2153","article-title":"Iterative views agreement: An iterative low-rank based structured optimization method to multi-view spectral clustering","volume-title":"Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI)","author":"Wang"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.105582"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2777489"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3055625"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v28i1.8973"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-23528-8_20"},{"article-title":"Multiview clustering with incomplete views","volume-title":"Proceedings of the NIPS Workshop on Machine Learning for Social Computing","author":"Rai","key":"ref18"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/313"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2884715"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-023-07919-1"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2013.09.009"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.cogsys.2019.04.006"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01102"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/546"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2023.3243521"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i14.29526"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i13.29380"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10893"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/1014052.1014118"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01866"},{"article-title":"Effective and efficient graph learning for multi-view clustering","year":"2021","author":"Gao","key":"ref32"},{"key":"ref33","first-page":"415","article-title":"Multi-view metric learning in vector-valued kernel spaces","volume-title":"Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS)","author":"Huusari"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2019.2892416"}],"event":{"name":"2024 IEEE International Conference on Big Data (BigData)","start":{"date-parts":[[2024,12,15]]},"location":"Washington, DC, USA","end":{"date-parts":[[2024,12,18]]}},"container-title":["2024 IEEE International Conference on Big Data (BigData)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10824975\/10824942\/10825789.pdf?arnumber=10825789","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,17]],"date-time":"2025-01-17T08:06:00Z","timestamp":1737101160000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10825789\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,15]]},"references-count":34,"URL":"https:\/\/doi.org\/10.1109\/bigdata62323.2024.10825789","relation":{},"subject":[],"published":{"date-parts":[[2024,12,15]]}}}