{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T04:16:03Z","timestamp":1781151363949,"version":"3.54.1"},"reference-count":52,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/OAPA.html"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61632081"],"award-info":[{"award-number":["61632081"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Basic Research Program of China","doi-asserted-by":"publisher","award":["2014CB340400"],"award-info":[{"award-number":["2014CB340400"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61871470"],"award-info":[{"award-number":["61871470"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61761130079"],"award-info":[{"award-number":["61761130079"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Cybern."],"published-print":{"date-parts":[[2020,1]]},"DOI":"10.1109\/tcyb.2018.2868742","type":"journal-article","created":{"date-parts":[[2018,10,3]],"date-time":"2018-10-03T18:25:42Z","timestamp":1538591142000},"page":"247-258","source":"Crossref","is-referenced-by-count":104,"title":["Spectral Clustering by Joint Spectral Embedding and Spectral Rotation"],"prefix":"10.1109","volume":"50","author":[{"given":"Yanwei","family":"Pang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jin","family":"Xie","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Feiping","family":"Nie","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xuelong","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","article-title":"Columbia object image library (COIL-100)","author":"nene","year":"1996"},{"key":"ref38","article-title":"Columbia object image library (COIL-20)","author":"nene","year":"1996"},{"key":"ref33","first-page":"431","article-title":"Spectral rotation versus K-means in spectral clustering","author":"huang","year":"2013","journal-title":"Proc 27th AAAI Conf Artif Intell"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.21136\/CMJ.1973.101168"},{"key":"ref31","doi-asserted-by":"crossref","first-page":"420","DOI":"10.1147\/rd.175.0420","article-title":"Lower bounds for the partitioning of graphs","volume":"17","author":"donath","year":"1973","journal-title":"IBM J Res Develop"},{"key":"ref30","author":"chung","year":"1997","journal-title":"Spectral Graph Theory"},{"key":"ref37","year":"2015","journal-title":"Binary alphadigits database"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ACV.1994.341300"},{"key":"ref35","article-title":"The are face database","author":"martinez","year":"1998"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/s11432-016-9021-9"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2839916"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2014.2306844"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2745109"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2016.2630731"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s11432-017-9158-x"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/304181.304187"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2008.01.039"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2007.05.018"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2014.2322377"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/72.914517"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2657692"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2014.2344015"},{"key":"ref50","author":"dheeru","year":"2017","journal-title":"UCI Machine Learning Repository"},{"key":"ref51","first-page":"1601","article-title":"Self-tuning spectral clustering","author":"zelnik-manor","year":"2005","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref52","first-page":"410","article-title":"V-measure: A conditional entropy-based external cluster evaluation measure","author":"rosenberg","year":"2007","journal-title":"Proc Joint Conf Empir Meth Nat Lang Process Comput Nat Lang Learn"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/34.244673"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/AFGR.1998.670949"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/43.159993"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/34.868688"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2001.989507"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"1796","DOI":"10.1109\/TNN.2011.2162000","article-title":"Spectral embedded clustering: A framework for in-sample and out-of-sample spectral clustering","volume":"22","author":"nie","year":"2011","journal-title":"IEEE Trans Neural Netw"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/43.310898"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2003.1238361"},{"key":"ref17","first-page":"2273","article-title":"A unified framework for discrete spectral clustering","author":"yang","year":"2016","journal-title":"Proc Int Joint Conf Artif Intell"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2005.845141"},{"key":"ref19","first-page":"226","article-title":"A density-based algorithm for discovering clusters in large spatial databases with noise","author":"ester","year":"1996","journal-title":"Proc Int Conf Knowl Disc Data Mining"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/BF02289588"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.02.067"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s11222-007-9033-z"},{"key":"ref5","first-page":"281","article-title":"Some methods for classification and analysis of multivariate observations","author":"macqueen","year":"1967","journal-title":"Proc Berkeley Symp on Math Statist and Prob"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2004.10095"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref7","first-page":"125","article-title":"Support vector clustering","volume":"2","author":"ben-hur","year":"2002","journal-title":"J Mach Learn Res"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2016.2628722"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/34.927464"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-72201-1_25"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/S0262-8856(97)00070-X"},{"key":"ref47","first-page":"385","article-title":"Cursive character challenge: A new database for machine learning and pattern recognition","author":"camastra","year":"2006","journal-title":"Proc Int Conf Pattern Recognit"},{"key":"ref42","doi-asserted-by":"crossref","first-page":"328","DOI":"10.1109\/TPAMI.2005.55","article-title":"Face recognition using Laplacianfaces","volume":"27","author":"he","year":"2005","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2000.855850"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2003.1251154"},{"key":"ref43","year":"2001","journal-title":"Georgia Tech Face Database"}],"container-title":["IEEE Transactions on Cybernetics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221036\/8879634\/08480876.pdf?arnumber=8480876","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,27]],"date-time":"2022-01-27T00:49:15Z","timestamp":1643244555000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8480876\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,1]]},"references-count":52,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tcyb.2018.2868742","relation":{},"ISSN":["2168-2267","2168-2275"],"issn-type":[{"value":"2168-2267","type":"print"},{"value":"2168-2275","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,1]]}}}