{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T11:24:07Z","timestamp":1762341847422,"version":"3.37.3"},"reference-count":35,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2022,6,16]],"date-time":"2022-06-16T00:00:00Z","timestamp":1655337600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,6,16]],"date-time":"2022-06-16T00:00:00Z","timestamp":1655337600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"the Postgraduate Research & Practice Innovation Program of Jiangsu Province","award":["SJCX20_1416"],"award-info":[{"award-number":["SJCX20_1416"]}]},{"name":"the National Science Foundation of China under Grant","award":["61976108"],"award-info":[{"award-number":["61976108"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Appl Intell"],"published-print":{"date-parts":[[2023,2]]},"DOI":"10.1007\/s10489-022-03654-6","type":"journal-article","created":{"date-parts":[[2022,6,16]],"date-time":"2022-06-16T09:02:57Z","timestamp":1655370177000},"page":"4859-4873","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["Deep subspace image clustering network with self-expression and self-supervision"],"prefix":"10.1007","volume":"53","author":[{"given":"Chao","family":"Chen","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0350-4055","authenticated-orcid":false,"given":"Hu","family":"Lu","sequence":"additional","affiliation":[]},{"given":"Hui","family":"Wei","sequence":"additional","affiliation":[]},{"given":"Xia","family":"Geng","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,6,16]]},"reference":[{"key":"3654_CR1","unstructured":"MacQueen J (1967) Some methods for classification and analysis of multivariate observations. In: Proceedings of the fifth Berkeley symposium on mathematical statistics and probability, vol 1, no 14, pp 281\u2013297, Oakland, CA, USA"},{"key":"3654_CR2","unstructured":"Ester M, Kriegel H-P, Sander J, Xu X (1996) A density-based algorithm for discovering clusters in large spatial databases with noise. kdd 96(34):226\u2013231"},{"key":"3654_CR3","doi-asserted-by":"crossref","unstructured":"Johnson SC (1967) Hierarchical clustering schemes.\u00a0Psychometrika\u00a032(3):241\u2013254","DOI":"10.1007\/BF02289588"},{"issue":"1","key":"3654_CR4","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1007\/s10115-006-0027-5","volume":"12","author":"H Koga","year":"2007","unstructured":"Koga H, Ishibashi T, Watanabe T (2007) Fast agglomerative hierarchical clustering algorithm using Locality-Sensitive Hashing. Knowl Inf Syst 12(1):25\u201353","journal-title":"Knowl Inf Syst"},{"key":"3654_CR5","doi-asserted-by":"crossref","unstructured":"Lu H, Song Y, Wei H (2020) Multiple-kernel combination fuzzy clustering for community detection. Soft Comput 24(18):14157\u201314165","DOI":"10.1007\/s00500-020-04785-z"},{"key":"3654_CR6","doi-asserted-by":"crossref","unstructured":"Peng X, Feng J, Xiao S, Yau W-Y, Zhou JT, Yang S (2018) Structured autoencoders for subspace clustering.\u00a0IEEE Trans Image Process 27(10):5076\u20135086","DOI":"10.1109\/TIP.2018.2848470"},{"key":"3654_CR7","doi-asserted-by":"crossref","unstructured":"Peng X, Feng J, Zhou JT, Lei Y, Yan S (2020) Deep subspace clustering.\u00a0IEEE Trans Neural Netw Learn Syst 31(12):5509\u20135521","DOI":"10.1109\/TNNLS.2020.2968848"},{"key":"3654_CR8","doi-asserted-by":"crossref","unstructured":"Zhou P, Hou Y, Feng J (2018) Deep adversarial subspace clustering. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp 1596\u20131604","DOI":"10.1109\/CVPR.2018.00172"},{"key":"3654_CR9","doi-asserted-by":"crossref","unstructured":"Liu M, Wang Y, Sun J, Ji Z (2021) Adaptive low-rank kernel block diagonal representation subspace clustering. Appl Intell 52(2):2301\u20132316","DOI":"10.1007\/s10489-021-02396-1"},{"key":"3654_CR10","doi-asserted-by":"crossref","unstructured":"Yang X, Deng C, Liu X, Nie F (2018) New l 2, 1-norm relaxation of multi-way graph cut for clustering. In: Thirty-Second AAAI Conference on Artificial Intelligence","DOI":"10.1609\/aaai.v32i1.11765"},{"key":"3654_CR11","unstructured":"Ng AY, Jordan MI, Weiss Y (2002) On spectral clustering: Analysis and an algorithm. In: Advances in neural information processing systems, pp 849\u2013856"},{"key":"3654_CR12","doi-asserted-by":"crossref","unstructured":"Elhamifar E, Vidal R (2013) Sparse subspace clustering: Algorithm, theory, and applications.\u00a0IEEE Trans Pattern Anal Mach Intell 35(11):2765\u20132781","DOI":"10.1109\/TPAMI.2013.57"},{"key":"3654_CR13","unstructured":"Vidal EER (2009) Sparse subspace clustering. In: 2009 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), vol 6, pp 2790\u20132797"},{"key":"3654_CR14","unstructured":"Liu G, Lin Z, Yu Y (2010) Robust subspace segmentation by low-rank representation. In:\u00a0Icml, vol 1, p 8, Citeseer"},{"key":"3654_CR15","doi-asserted-by":"crossref","unstructured":"You C, Li C-G, Robinson DP, Vidal R et al (2016) Oracle based active set algorithm for scalable elastic net subspace clustering. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 3928\u20133937","DOI":"10.1109\/CVPR.2016.426"},{"key":"3654_CR16","doi-asserted-by":"crossref","unstructured":"Lu H, Liu S, Wei H, Tu J (2020) Multi-kernel fuzzy clustering based on auto-encoder for fMRI functional network. Expert Syst Appl 159:113513","DOI":"10.1016\/j.eswa.2020.113513"},{"issue":"6","key":"3654_CR17","doi-asserted-by":"publisher","first-page":"1537","DOI":"10.1109\/TPAMI.2019.2913863","volume":"42","author":"J Yang","year":"2019","unstructured":"Yang J, Liang J, Wang K, Rosin PL, Yang M-H (2019) Subspace clustering via good neighbors. IEEE Trans Pattern Anal Mach Intell 42(6):1537\u20131544","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"3654_CR18","doi-asserted-by":"crossref","unstructured":"Zhang J et al (2019) Self-supervised convolutional subspace clustering network. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp 5473\u20135482","DOI":"10.1109\/CVPR.2019.00562"},{"key":"3654_CR19","doi-asserted-by":"crossref","unstructured":"Liu M, Wang Y, Sun J, Ji Z (2020) Structured block diagonal representation for subspace clustering. Appl Intell 50(8):2523\u20132536","DOI":"10.1007\/s10489-020-01629-z"},{"key":"3654_CR20","doi-asserted-by":"crossref","unstructured":"Mi Y, Ren Z, Mukherjee M, Huang Y, Sun Q, Chen L (2021) Diversity and consistency embedding learning for multi-view subspace clustering. Appl Intell 51(10):6771\u20136784","DOI":"10.1007\/s10489-020-02126-z"},{"key":"3654_CR21","doi-asserted-by":"crossref","unstructured":"Patel VM, Vidal R (2014) Kernel sparse subspace clustering. In: IEEE International conference on image processing (ICIP). IEEE,\u00a0pp 2849\u20132853","DOI":"10.1109\/ICIP.2014.7025576"},{"key":"3654_CR22","doi-asserted-by":"crossref","unstructured":"Huang Q, Zhang Y, Peng H, Dan T, Weng W, Cai H (2020) Deep subspace clustering to achieve jointly latent feature extraction and discriminative learning.\u00a0Neurocomputing 404:340\u2013350","DOI":"10.1016\/j.neucom.2020.04.120"},{"key":"3654_CR23","unstructured":"Zhang Y et al (2021) Deep multiview clustering via iteratively self-supervised universal and specific space learning. IEEE Trans Cybern (99):1\u201313"},{"key":"3654_CR24","unstructured":"Ji P, Zhang T, Li H, Salzmann M, Reid I (2017) Deep subspace clustering networks. Advances in neural information processing systems, pp 24\u201333"},{"key":"3654_CR25","unstructured":"Valanarasu JMJ, Patel VM (2021) Overcomplete deep subspace clustering networks. In: Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision, pp 746\u2013755"},{"key":"3654_CR26","unstructured":"Sun X, Cheng M, Min C, Jing L (2019) Self-supervised deep multi-view subspace clustering. In: Asian Conference on Machine Learning. PMLR,\u00a0pp 1001\u20131016"},{"key":"3654_CR27","doi-asserted-by":"crossref","unstructured":"Masci J, Meier U, Cire\u015fan D, Schmidhuber J (2011) Stacked convolutional auto-encoders for hierarchical feature extraction. In: International conference on artificial neural networks. Springer, Berlin, pp 52\u201359","DOI":"10.1007\/978-3-642-21735-7_7"},{"key":"3654_CR28","unstructured":"Ji P, Salzmann M, Li H (2014) Efficient dense subspace clustering. In: IEEE Winter Conference on Applications of Computer Vision. IEEE,\u00a0pp 461\u2013468"},{"key":"3654_CR29","doi-asserted-by":"crossref","unstructured":"Georghiades AS, Belhumeur PN,\u00a0Kriegman DJ (2001) From few to many: Illumination cone models for face recognition under variable lighting and pose.\u00a0IEEE Trans Pattern Anal Mach Intell 23(6):643\u2013660","DOI":"10.1109\/34.927464"},{"key":"3654_CR30","unstructured":"Samaria FS, Harter AC (1994) Parameterisation of a stochastic model for human face identification. In: Proceedings of 1994 IEEE workshop on applications of computer vision. IEEE,\u00a0pp 138\u2013142"},{"key":"3654_CR31","unstructured":"Nene SA (1996) Columbia object image library (coil-100). Technical Report\u00a06"},{"key":"3654_CR32","doi-asserted-by":"crossref","unstructured":"You C, Robinson D, Vidal R (2016) Scalable sparse subspace clustering by orthogonal matching pursuit. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 3918\u20133927","DOI":"10.1109\/CVPR.2016.425"},{"key":"3654_CR33","doi-asserted-by":"crossref","unstructured":"Vidal R, Favaro P (2014) Low rank subspace clustering (LRSC).\u00a0Pattern Recogn Lett 43:47\u201361","DOI":"10.1016\/j.patrec.2013.08.006"},{"key":"3654_CR34","doi-asserted-by":"crossref","unstructured":"Baek S, Yoon G, Song J, Yoon SM (2021) Deep self-representative subspace clustering network.\u00a0Pattern Recogn 118:108041","DOI":"10.1016\/j.patcog.2021.108041"},{"key":"3654_CR35","doi-asserted-by":"crossref","unstructured":"Lu H, Chen C, Wei H (2022) Improved deep convolutional embedded clustering with re-selectable sample training. Pattern Recognit 127:108611","DOI":"10.1016\/j.patcog.2022.108611"}],"container-title":["Applied Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-022-03654-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10489-022-03654-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-022-03654-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T07:49:44Z","timestamp":1675237784000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10489-022-03654-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,16]]},"references-count":35,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2023,2]]}},"alternative-id":["3654"],"URL":"https:\/\/doi.org\/10.1007\/s10489-022-03654-6","relation":{},"ISSN":["0924-669X","1573-7497"],"issn-type":[{"type":"print","value":"0924-669X"},{"type":"electronic","value":"1573-7497"}],"subject":[],"published":{"date-parts":[[2022,6,16]]},"assertion":[{"value":"19 April 2022","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 June 2022","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}