{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,16]],"date-time":"2026-01-16T10:29:24Z","timestamp":1768559364565,"version":"3.49.0"},"reference-count":42,"publisher":"Springer Science and Business Media LLC","issue":"16","license":[{"start":{"date-parts":[[2016,12,21]],"date-time":"2016-12-21T00:00:00Z","timestamp":1482278400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2017,8]]},"DOI":"10.1007\/s11042-016-4131-6","type":"journal-article","created":{"date-parts":[[2016,12,21]],"date-time":"2016-12-21T07:12:29Z","timestamp":1482304349000},"page":"17559-17576","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Spectral clustering based on hypergraph and self-re-presentation"],"prefix":"10.1007","volume":"76","author":[{"given":"Yonggang","family":"Li","sequence":"first","affiliation":[]},{"given":"Shichao","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Debo","family":"Cheng","sequence":"additional","affiliation":[]},{"given":"Wei","family":"He","sequence":"additional","affiliation":[]},{"given":"Guoqiu","family":"Wen","sequence":"additional","affiliation":[]},{"given":"Qing","family":"Xie","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,12,21]]},"reference":[{"key":"4131_CR1","doi-asserted-by":"crossref","unstructured":"Agarwal S, Lim J, Zelnik-Manor L et al (2005) Beyond pairwise clustering [C]. In: CVPR 838\u2013845","DOI":"10.1109\/CVPR.2005.89"},{"issue":"6","key":"4131_CR2","doi-asserted-by":"crossref","first-page":"1312","DOI":"10.1109\/TPAMI.2012.226","volume":"35","author":"SR Bulo","year":"2013","unstructured":"Bulo SR, Pelillo M (2013) A game-theoretic approach to hypergraph clustering [J]. IEEE Trans Pattern Anal Mach Intell 35(6):1312\u20131327","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"4131_CR3","doi-asserted-by":"crossref","unstructured":"Elhamifar E, Vidal R (2009) Sparse subspace clustering [C]. In CVPR, pages: 2790\u20132797","DOI":"10.1109\/CVPR.2009.5206547"},{"issue":"2","key":"4131_CR4","first-page":"1816","volume":"2","author":"R Fergus","year":"2005","unstructured":"Fergus R, Feifei L, Perona P et al (2005) Learning object categories from Google\u2019s I-mage search [J]. Proceedings 2(2):1816\u20131823","journal-title":"Proceedings"},{"issue":"98","key":"4131_CR5","doi-asserted-by":"crossref","first-page":"298","DOI":"10.21136\/CMJ.1973.101168","volume":"23","author":"M Fiedler","year":"1973","unstructured":"Fiedler M (1973) Algebraic connectivity of graphs [J]. Czechoslov Math J 23(98):298\u2013305","journal-title":"Czechoslov Math J"},{"issue":"2","key":"4131_CR6","doi-asserted-by":"crossref","first-page":"114","DOI":"10.1097\/01.PEP.0000068117.48023.18","volume":"15","author":"MR Franjoine","year":"2003","unstructured":"Franjoine MR, Gunther JS, Taylor MJ (2003) Pediatric Balance Scale: a modified version of the Berg-Balance Scale for the school age child with mild to moderate motor impairment[J]. Pediatr Phys Ther 15(2):114\u2013128","journal-title":"Pediatr Phys Ther"},{"issue":"9","key":"4131_CR7","doi-asserted-by":"crossref","first-page":"1074","DOI":"10.1109\/43.159993","volume":"11","author":"L Hagen","year":"1992","unstructured":"Hagen L, Kahng AB (1992) New spectral methods for ratio cut partitioning and clustering [J]. IEEE Trans Comput Aided Des Integr Circuits Syst 11(9):1074\u20131085","journal-title":"IEEE Trans Comput Aided Des Integr Circuits Syst"},{"issue":"1","key":"4131_CR8","doi-asserted-by":"crossref","first-page":"100","DOI":"10.2307\/2346830","volume":"28","author":"JA Hartigan","year":"2013","unstructured":"Hartigan JA, Wong MA (2013) A k-means clustering algorithm [J]. Appl Stat 28(1):100\u2013108","journal-title":"Appl Stat"},{"key":"4131_CR9","doi-asserted-by":"crossref","unstructured":"Hu H, Lin Z, Feng J et al (2014) Smooth representation clustering [C]. In CVPR, 3834\u20133841","DOI":"10.1109\/CVPR.2014.484"},{"key":"4131_CR10","unstructured":"Jain AK, Dubes RC (1988) Algorithms for clustering data. Prentice Hall, Englewood Cliffs, 32(32):227\u2013229"},{"issue":"3","key":"4131_CR11","doi-asserted-by":"crossref","first-page":"264","DOI":"10.1145\/331499.331504","volume":"31","author":"A Jain","year":"1999","unstructured":"Jain A, Murty M, Flynn P (1999) Data clustering: a review [J]. ACM Comput Surv 31(3):264\u2013323","journal-title":"ACM Comput Surv"},{"issue":"1\u20132","key":"4131_CR12","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1002\/nav.3800020109","volume":"2","author":"H Kuhn","year":"1955","unstructured":"Kuhn H (1955) The Hungarian method for the assignment problem. Nav Res Logist Q 2(1\u20132):83\u201397","journal-title":"Nav Res Logist Q"},{"issue":"4","key":"4131_CR13","doi-asserted-by":"crossref","first-page":"544","DOI":"10.1137\/1012104","volume":"12","author":"P Lancaster","year":"1970","unstructured":"Lancaster P (1970) Explicit solutions of linear matrix equations [J]. SIAM Rev 12(4):544\u2013566","journal-title":"SIAM Rev"},{"key":"4131_CR14","unstructured":"Li F, Perona P (2005) A Bayesian hierarchical model for learning natural scene categories [C]. In CVPR, 2: 524\u2013531"},{"issue":"1","key":"4131_CR15","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1109\/TPAMI.2012.88","volume":"35","author":"G Liu","year":"2013","unstructured":"Liu G, Lin Z, Yan S et al (2013) Robust recovery of subspace structures by low-rank representation [J]. IEEE Trans Pattern Anal Mach Intell 35(1):171\u2013184","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"4131_CR16","unstructured":"Lu CY, Min H, Zhao ZQ et al (2012) Robust and efficient subspace segmentation via least squares regression [C]. In ECCV, pages: 347\u2013360"},{"key":"4131_CR17","unstructured":"MacQueen JB (1967) Some methods for classification and analysis of multi variate observations [J]. Berkeley Symposium on Math, 281\u2013297"},{"key":"4131_CR18","unstructured":"Purkait P et al (2014) Clustering with hypergraphs: the case for large hyper-edges [C]. In ECCV, 672\u2013687"},{"issue":"1","key":"4131_CR19","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1007\/s10489-006-0032-0","volume":"27","author":"Y Qin","year":"2007","unstructured":"Qin Y, Zhang S, Zhu X et al (2007) Semi-parametric optimization for missing data imputation. Appl Intell 27(1):79\u201388","journal-title":"Appl Intell"},{"key":"4131_CR20","doi-asserted-by":"crossref","unstructured":"Russell BC, Efros AA, Sivic J et al (2006) Using multiple segmentations to discover objects and their extent in image collections [C]. In CVPR, 2: 1605\u20131614","DOI":"10.1109\/CVPR.2006.326"},{"issue":"8","key":"4131_CR21","doi-asserted-by":"crossref","first-page":"888","DOI":"10.1109\/34.868688","volume":"22","author":"J Shi","year":"2000","unstructured":"Shi J, Malik J (2000) Normalized cuts and image segmentation [J]. IEEE Trans Pattern Anal Mach Intell 22(8):888\u2013905","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"4131_CR22","doi-asserted-by":"crossref","unstructured":"Sivic J, Russell BC, Efros AA et al (2005) Discovering objects and their location in images [C]. In ICCV, 1: 370\u2013377","DOI":"10.1109\/ICCV.2005.77"},{"key":"4131_CR23","unstructured":"Sivic J, Russell BC, Zisserman A et al (2008) Unsupervised discovery of visual obj-ect class hierarchies [C]. In CVPR, 1\u20138"},{"key":"4131_CR24","doi-asserted-by":"crossref","unstructured":"Sun L, Ji S, Ye J (2008) Hypergraph spectral learning for multi-label classification [C]. In ACM SIGKDD, 668\u2013676","DOI":"10.1145\/1401890.1401971"},{"key":"4131_CR25","doi-asserted-by":"crossref","unstructured":"Tron R, Vidal R (2007) A benchmark for the comparison of 3-d motion segmentation algorithm. In CVPR, pp. 1\u20138","DOI":"10.1109\/CVPR.2007.382974"},{"issue":"4","key":"4131_CR26","doi-asserted-by":"crossref","first-page":"395","DOI":"10.1007\/s11222-007-9033-z","volume":"17","author":"U Luxburg von","year":"2007","unstructured":"von Luxburg U (2007) A tutorial on spectral clustering [J]. Stat Comput 17(4):395\u2013416","journal-title":"Stat Comput"},{"key":"4131_CR27","doi-asserted-by":"crossref","unstructured":"Zass R, Shashua A (2008) Probabilistic graph and hypergraph matching [C]. In CVPR, 1\u20138","DOI":"10.1109\/CVPR.2008.4587500"},{"key":"4131_CR28","unstructured":"Zhang S, Li X, Zong M et al (2016) Learning k for kNN classification. ACM Trans Intell Syst Technol, (accepted)"},{"key":"4131_CR29","doi-asserted-by":"crossref","unstructured":"Zhang C, Qin Y, Zhu X et al (2006) Clustering-based missing value imputation for data preprocessing. In 2006 4th IEEE International Conference on Industrial Informatics, 1081\u20131086","DOI":"10.1109\/INDIN.2006.275767"},{"issue":"10\u201312","key":"4131_CR30","doi-asserted-by":"crossref","first-page":"1704","DOI":"10.1016\/j.neucom.2009.12.029","volume":"73","author":"F Zhao","year":"2010","unstructured":"Zhao F, Jiao L, Liu H et al (2010) Spectral clustering with eigenvector selection based on entropy ranking. Neurocomputing 73(10\u201312):1704\u20131717","journal-title":"Neurocomputing"},{"key":"4131_CR31","doi-asserted-by":"crossref","unstructured":"Zhu Y, Cox M, Lucey S (2011) 3D motion reconstruction for real-world camera motion. In CVPR, pp. 1\u20138","DOI":"10.1109\/CVPR.2011.5995650"},{"key":"4131_CR32","doi-asserted-by":"crossref","unstructured":"Zhu Y, Huang D, De la Torre F et al (2014) Complex non-rigid motion 3D reconstruction by union of subspaces. In CVPR, 1542\u20131549","DOI":"10.1109\/CVPR.2014.200"},{"issue":"8","key":"4131_CR33","doi-asserted-by":"crossref","first-page":"3003","DOI":"10.1016\/j.patcog.2012.02.007","volume":"45","author":"X Zhu","year":"2012","unstructured":"Zhu X, Huang Z, Shen HT et al (2012) Dimensionality reduction by Mixed Kernel Canonical Correlation Analysis[J]. Pattern Recogn 45(8):3003\u20133016","journal-title":"Pattern Recogn"},{"key":"4131_CR34","doi-asserted-by":"crossref","unstructured":"Zhu X, Huang Z, Shen HT et al (2013) Linear cross-modal hashing for efficient multimedia search [C]. In ACM International Conference on Multimedia, pp. 143\u2013152","DOI":"10.1145\/2502081.2502107"},{"issue":"2","key":"4131_CR35","doi-asserted-by":"crossref","first-page":"450","DOI":"10.1109\/TCYB.2015.2403356","volume":"46","author":"X Zhu","year":"2016","unstructured":"Zhu X, Li X, Zhang S (2016) Block-row sparse multi-view multi-label learning for image classification. IEEE Trans Cybern 46(2):450\u2013461","journal-title":"IEEE Trans Cybern"},{"issue":"3","key":"4131_CR36","doi-asserted-by":"crossref","first-page":"529","DOI":"10.1109\/TPAMI.2013.2295311","volume":"37","author":"Y Zhu","year":"2015","unstructured":"Zhu Y, Lucey S (2015) Convolutional sparse coding for trajectory reconstruction. IEEE Trans Pattern Anal Mach Intell 37(3):529\u2013540","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"3","key":"4131_CR37","doi-asserted-by":"crossref","first-page":"607","DOI":"10.1109\/TBME.2015.2466616","volume":"63","author":"X Zhu","year":"2016","unstructured":"Zhu X, Suk HI, Lee SW et al (2016) Subspace regularized sparse multi-task le-arning for multi-class neurodegenerative disease identification [J]. IEEE Trans Biomed Eng 63(3):607\u2013618","journal-title":"IEEE Trans Biomed Eng"},{"key":"4131_CR38","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1016\/j.neuroimage.2014.05.078","volume":"100","author":"X Zhu","year":"2014","unstructured":"Zhu X, Suk HI, Shen D (2014) A novel matrix-similarity based loss function for joint regression and classification in AD diagnosis [J]. Neuroimaging 100:91\u2013105","journal-title":"Neuroimaging"},{"issue":"1","key":"4131_CR39","doi-asserted-by":"crossref","first-page":"110","DOI":"10.1109\/TKDE.2010.99","volume":"23","author":"X Zhu","year":"2011","unstructured":"Zhu X, Zhang S, Jin Z et al (2011) Missing value estimation for mixed-attribute data sets. IEEE Trans Knowl Data Eng 23(1):110\u2013121","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"4131_CR40","unstructured":"Zhu X, Zhang S, Zhang J et al (2007) Cost-sensitive imputing missing values with ordering. AAAI press, 2: 1922\u20131923"},{"issue":"9","key":"4131_CR41","doi-asserted-by":"crossref","first-page":"3737","DOI":"10.1109\/TIP.2014.2332764","volume":"23","author":"X Zhu","year":"2014","unstructured":"Zhu X, Zhang L, Huang Z (2014) A sparse embedding and least variance encode-ng approach to hashing [J]. IEEE Trans Image Process 23(9):3737\u20133750","journal-title":"IEEE Trans Image Process"},{"issue":"6","key":"4131_CR42","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1070\/RM1974v029n06ABEH001303","volume":"29","author":"AA Zykov","year":"1974","unstructured":"Zykov AA (1974) Hypergraphs [J]. Russ Math Surv 29(6):89\u2013154","journal-title":"Russ Math Surv"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11042-016-4131-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-016-4131-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-016-4131-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,9,28]],"date-time":"2020-09-28T04:05:14Z","timestamp":1601265914000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11042-016-4131-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,12,21]]},"references-count":42,"journal-issue":{"issue":"16","published-print":{"date-parts":[[2017,8]]}},"alternative-id":["4131"],"URL":"https:\/\/doi.org\/10.1007\/s11042-016-4131-6","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"value":"1380-7501","type":"print"},{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,12,21]]}}}