{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,25]],"date-time":"2026-09-25T18:53:04Z","timestamp":1790362384528,"version":"4.1.0"},"reference-count":75,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61603291"],"award-info":[{"award-number":["61603291"]}],"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":["61751202"],"award-info":[{"award-number":["61751202"]}],"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":["61772427"],"award-info":[{"award-number":["61772427"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013076","name":"National Major Science and Technology Projects of China","doi-asserted-by":"publisher","award":["2018ZX01008103"],"award-info":[{"award-number":["2018ZX01008103"]}],"id":[{"id":"10.13039\/501100013076","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/tkde.2019.2939524","type":"journal-article","created":{"date-parts":[[2019,9,4]],"date-time":"2019-09-04T20:21:05Z","timestamp":1567628465000},"page":"1-1","source":"Crossref","is-referenced-by-count":26,"title":["Unsupervised Linear Discriminant Analysis for Jointly Clustering and Subspace Learning"],"prefix":"10.1109","author":[{"given":"Fei","family":"Wang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Quan","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Feiping","family":"Nie","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhongheng","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"W","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rong","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.578"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2850823"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2691557"},{"key":"ref70","first-page":"277","article-title":"Structured sparse subspace clustering: A unified optimization framework","author":"li","year":"2015","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.07.014"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2016.2515613"},{"key":"ref75","first-page":"392","article-title":"Matrix computations","volume":"47","author":"golub","year":"1996","journal-title":"Math Gazette"},{"key":"ref38","first-page":"1302","article-title":"Unsupervised feature selection with structured graph optimization","author":"nie","year":"2016","journal-title":"Proc 30th AAAI Conf Artif Intell"},{"key":"ref33","doi-asserted-by":"crossref","first-page":"1287","DOI":"10.1109\/TNNLS.2014.2337335","article-title":"Discriminative embedded clustering: A framework for grouping high-dimensional data","volume":"26","author":"hou","year":"2015","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"ref32","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":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/1645953.1646122"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2663838"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2014.08.004"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611973440.107"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-44845-8_20"},{"key":"ref34","first-page":"1589","article-title":"L2,1-norm regularized discriminative feature selection for unsupervised learning","author":"yang","year":"2011","journal-title":"Proc 22nd Int Joint Conf Artif Intell"},{"key":"ref60","first-page":"110","article-title":"Low-rank common subspace for multi-view learning","author":"ding","year":"2015","journal-title":"Proc IEEE Int Conf Data Mining"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.01.017"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.185"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2851444"},{"key":"ref28","article-title":"Locality preserving projections","author":"he","year":"2005"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLC.2007.4370478"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"2323","DOI":"10.1126\/science.290.5500.2323","article-title":"Nonlinear dimensionality reduction by locally linear embedding","volume":"290","author":"roweis","year":"2000","journal-title":"Sci"},{"key":"ref65","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1016\/j.procs.2016.04.032","article-title":"Unsupervised linear discriminant analysis for supporting DPGMM clustering in the zero resource scenario","volume":"81","author":"heck","year":"2016","journal-title":"Procedia Comput Sci"},{"key":"ref66","first-page":"241","article-title":"Discriminative cluster analysis","author":"torre","year":"2006","journal-title":"Proc 23rd Int Conf Mach Learn"},{"key":"ref29","first-page":"1181","article-title":"Robust multi-view subspace learning through dual low-rank decompositions","author":"ding","year":"2016","journal-title":"Proc 30th AAAI Conf Artif Intell"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2007.383103"},{"key":"ref68","first-page":"1649","article-title":"Discriminative k-means for clustering","author":"ye","year":"2007","journal-title":"Proc 20th Int Conf Neural Inf Process Syst"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273562"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1948.tb00008.x"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1469-1809.1936.tb02137.x"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2327983"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2842023"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2013.2253476"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2785324"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2448637"},{"key":"ref26","doi-asserted-by":"crossref","first-page":"3913","DOI":"10.1109\/TNNLS.2017.2740341","article-title":"Self-weighted supervised discriminative feature selection","volume":"29","author":"zhang","year":"2017","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2789524"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.57"},{"key":"ref51","first-page":"731","article-title":"$\\ell ^{0}$?0-sparse subspace clustering","author":"yang","year":"2016","journal-title":"Proc 14th Eur Conf Comput Vis"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2490080"},{"key":"ref58","first-page":"3827","article-title":"Robust subspace clustering via thresholding ridge regression","author":"peng","year":"2015","journal-title":"Proc 29th AAAI Conf Artif Intell"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33786-4_26"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299092"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.88"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995365"},{"key":"ref53","first-page":"663","article-title":"Robust subspace segmentation by low-rank representation","author":"liu","year":"2010","journal-title":"Proc 27th Int Conf Mach Learn"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.425"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2007.382983"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"729","DOI":"10.1109\/TNN.2009.2015760","article-title":"Trace ratio problem revisited","volume":"20","author":"jia","year":"2009","journal-title":"IEEE Trans Neural Netw"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.10.130"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2009.04.001"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/S0031-3203(00)00135-7"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2006.160"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2010.11.008"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/34.598228"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.2307\/2289860"},{"key":"ref18","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1093\/biostatistics\/kxj035","article-title":"Regularized linear discriminant analysis and its application in microarrays","volume":"8","author":"guo","year":"2007","journal-title":"Biostatistics"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"1768","DOI":"10.1109\/TNN.2008.2002078","article-title":"Generalized linear discriminant analysis: A unified framework and efficient model selection","volume":"19","author":"ji","year":"2008","journal-title":"IEEE Trans Neural Netw"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2004.46"},{"key":"ref3","author":"fukunaga","year":"1990","journal-title":"Introduction to Statistical Pattern Classification"},{"key":"ref6","first-page":"483","article-title":"Characterization of a family of algorithms for generalized discriminant analysis on undersampled problems.","volume":"6","author":"ye","year":"2005","journal-title":"J Mach Learn Res"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2004.37"},{"key":"ref8","first-page":"266","article-title":"Fast linear discriminant analysis using QR decomposition and regularization","volume":"53","author":"park","year":"2007","journal-title":"J Glaciology"},{"key":"ref7","first-page":"1183","article-title":"Computational and theoretical analysis of null space and orthogonal linear discriminant analysis","volume":"7","author":"ye","year":"2006","journal-title":"J Mach Learn Res"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206547"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-8655(02)00207-6"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/34.868688"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2010.939739"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/s11222-007-9033-z"},{"key":"ref47","first-page":"849","article-title":"On spectral clustering: Analysis and an algorithm","author":"ng","year":"2001","journal-title":"Proc 14th Int Conf Neural Inf Process Syst Natural Synthetic"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.01.016"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2016.11.014"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2868847"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.04.001"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/69\/4358933\/08823955.pdf?arnumber=8823955","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,22]],"date-time":"2024-07-22T23:45:55Z","timestamp":1721691955000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8823955\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":75,"URL":"https:\/\/doi.org\/10.1109\/tkde.2019.2939524","relation":{},"ISSN":["1041-4347","1558-2191","2326-3865"],"issn-type":[{"value":"1041-4347","type":"print"},{"value":"1558-2191","type":"electronic"},{"value":"2326-3865","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]}}}