{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T00:00:03Z","timestamp":1777507203682,"version":"3.51.4"},"reference-count":40,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2021,1,18]],"date-time":"2021-01-18T00:00:00Z","timestamp":1610928000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,18]],"date-time":"2021-01-18T00:00:00Z","timestamp":1610928000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Cogn Comput"],"published-print":{"date-parts":[[2021,3]]},"DOI":"10.1007\/s12559-021-09827-8","type":"journal-article","created":{"date-parts":[[2021,1,18]],"date-time":"2021-01-18T15:02:49Z","timestamp":1610982169000},"page":"504-517","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Co-Adjustment Learning for Co-Clustering"],"prefix":"10.1007","volume":"13","author":[{"given":"Ji","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongjun","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shudong","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tianrun","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peng","family":"Jin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ping","family":"Deng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qigang","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,1,18]]},"reference":[{"issue":"1","key":"9827_CR1","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1007\/s12559-014-9281-0","volume":"7","author":"A Abdullah","year":"2014","unstructured":"Abdullah A, Hussain A. A cognitively inspired approach to two-way cluster extraction from one-way clustered data. Cogn Comput. 2014;7(1):161\u201382.","journal-title":"Cogn Comput"},{"key":"9827_CR2","unstructured":"Banerjee A, Dhillon I, Ghosh J, Merugu S, Modha DS. A generalized maximum entropy approach to bregman co-clustering and matrix approximation. J Mach Learn Res. (Aug) 2007;8:1919\u201386."},{"key":"9827_CR3","doi-asserted-by":"crossref","unstructured":"Bekkerman R, Ran EY, Mccallum A. Multi-way distributional clustering via pairwise interactions. International Conference on Machine Learning. 2005:41\u20138.","DOI":"10.1145\/1102351.1102357"},{"key":"9827_CR4","volume-title":"Uci repository of machine learning databases","author":"C Blake","year":"1998","unstructured":"Blake C. Uci repository of machine learning databases. Department of Information and Computer Science: University of California; 1998."},{"issue":"9","key":"9827_CR5","doi-asserted-by":"publisher","first-page":"2964","DOI":"10.1016\/j.cor.2007.01.005","volume":"35","author":"S Busygin","year":"2008","unstructured":"Busygin S. Biclustering in data mining. Computers and Operations Research. 2008;35(9):2964\u201387.","journal-title":"Computers and Operations Research"},{"issue":"8","key":"9827_CR6","doi-asserted-by":"publisher","first-page":"1548","DOI":"10.1109\/TPAMI.2010.231","volume":"33","author":"D Cai","year":"2011","unstructured":"Cai D, He X, Han J, Huang TS. Graph regularized nonnegative matrix factorization for data representation. IEEE Trans Pattern Anal Mach Intell. 2011;33(8):1548\u201360.","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"1","key":"9827_CR7","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1504\/IJDMB.2011.038579","volume":"5","author":"LC Chen","year":"2011","unstructured":"Chen LC, Yu PS, Tseng VS. Wf-msb: a weighted fuzzy-based biclustering method for gene expression data. Int J Data Min Bioin. 2011;5(1):89\u2013109.","journal-title":"Int J Data Min Bioin."},{"key":"9827_CR8","doi-asserted-by":"crossref","unstructured":"Chen, X., Ritter, A., Gupta, A., Mitchell, T.: Sense discovery via co-clustering on images and text. In: IEEE Conference on Computer Vision and Pattern Recognition. 2015:5298\u20135306.","DOI":"10.1109\/CVPR.2015.7299167"},{"issue":"10","key":"9827_CR9","doi-asserted-by":"publisher","first-page":"1459","DOI":"10.1109\/TKDE.2009.169","volume":"22","author":"Y Chen","year":"2010","unstructured":"Chen Y, Wang L, Dong M. Non-negative matrix factorization for semisupervised heterogeneous data coclustering. IEEE Transactions on Knowledge Data Engineering. 2010;22(10):1459\u201374.","journal-title":"IEEE Transactions on Knowledge Data Engineering"},{"key":"9827_CR10","unstructured":"Cheng Y, Church GM. Biclustering of expression data. In: Eighth International Conference on Intelligent Systems for Molecular Biology. 2000:93\u2013103."},{"key":"9827_CR11","doi-asserted-by":"crossref","unstructured":"Dhillon I, Mallela S, Modha D. Information-theoretic co-clustering. In: ACM SIGKDD International Conference on Knowledge Discovery Data Mining. 2003:89\u201398.","DOI":"10.1145\/956750.956764"},{"key":"9827_CR12","doi-asserted-by":"crossref","unstructured":"Dhillon IS. Co-clustering documents and words using bipartite spectral graph partitioning. In: ACM SIGKDD International Conference on Knowledge Discovery Data Mining. 2001:269\u2013274.","DOI":"10.1145\/502512.502550"},{"key":"9827_CR13","doi-asserted-by":"crossref","unstructured":"Feldman DD, Griffiths LJ. A constraint projection approach for robust adaptive beamforming. In: Acoustics, Speech, and Signal Processing, 1991. Icassp-91., 1991 International Conference. 1991:1381\u201384.","DOI":"10.1109\/ICASSP.1991.150680"},{"issue":"7","key":"9827_CR14","first-page":"e1004791","volume":"12","author":"C Gao","year":"2016","unstructured":"Gao C, Mcdowell IC, Zhao S, Brown CD, Engelhardt BE. Context specific and differential gene co-expression networks via bayesian biclustering: Plos Computational Biology. 2016;12(7):e1004791.","journal-title":"Context specific and differential gene co-expression networks via bayesian biclustering: Plos Computational Biology"},{"issue":"11","key":"9827_CR15","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.ins.2011.06.023","volume":"193","author":"N Garcia-Pedrajas","year":"2012","unstructured":"Garcia-Pedrajas N, Maudes-Raedo J, Garcia-Osorio C, Rodriguez-Diez JJ. Supervised subspace projections for constructing ensembles of classifiers. Inf Sci. 2012;193(11):1\u201321.","journal-title":"Inf Sci."},{"issue":"337","key":"9827_CR16","doi-asserted-by":"publisher","first-page":"123","DOI":"10.1080\/01621459.1972.10481214","volume":"67","author":"JA Hartigan","year":"1978","unstructured":"Hartigan JA. Direct clustering of a data matrix. Publications of the American Statistical Association. 1978;67(337):123\u20139.","journal-title":"Publications of the American Statistical Association"},{"issue":"1","key":"9827_CR17","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1145\/963770.963772","volume":"22","author":"JL Herlocker","year":"2004","unstructured":"Herlocker JL, Konstan JA, Terveen L, Riedl J. Evaluating collaborative filtering recommender systems. ACM Transactions on Information Systems. 2004;22(1):5\u201353.","journal-title":"ACM Transactions on Information Systems"},{"issue":"2","key":"9827_CR18","doi-asserted-by":"publisher","first-page":"483","DOI":"10.1007\/s10618-017-0543-9","volume":"32","author":"S Huang","year":"2018","unstructured":"Huang S, Wang H, Li T, Li T, Xu Z. Robust graph regularized nonnegative matrix factorization for clustering. Data Mining and Knowledge Discovery. 2018;32(2):483\u2013503.","journal-title":"Data Mining and Knowledge Discovery"},{"issue":"12","key":"9827_CR19","doi-asserted-by":"publisher","first-page":"3047","DOI":"10.1109\/TCYB.2015.2496174","volume":"46","author":"S Huang","year":"2015","unstructured":"Huang S, Wang H, Li T, Yang Y, Li T. Constraint co-projections for semi-supervised co-clustering. IEEE Transactions on Cybernetics. 2015;46(12):3047\u201358.","journal-title":"IEEE Transactions on Cybernetics"},{"key":"9827_CR20","doi-asserted-by":"publisher","first-page":"74","DOI":"10.1016\/j.knosys.2018.02.020","volume":"148","author":"S Huang","year":"2018","unstructured":"Huang S, Xu Z, Lv J. Adaptive local structure learning for document co-clustering. Knowledge-Based Systems. 2018;148:74\u201384.","journal-title":"Knowledge-Based Systems"},{"issue":"3","key":"9827_CR21","doi-asserted-by":"publisher","first-page":"264","DOI":"10.1145\/331499.331504","volume":"31","author":"AK Jain","year":"1999","unstructured":"Jain AK, Murty MN, Flynn PJ. Data clustering: a review. ACM Computing Surveys. 1999;31(3):264\u201332323.","journal-title":"ACM Computing Surveys"},{"key":"9827_CR22","unstructured":"Klein D, Kamvar SD, Manning CD. From instance-level constraints to space-level constraints: Making the most of prior knowledge in data clustering. In: Proceedings of the Nineteenth International Conference on Machine Learning. 2020:307\u2013314."},{"key":"9827_CR23","doi-asserted-by":"crossref","unstructured":"Kumar S, Gao X, Welch I. Learning under data shift for domain adaptation: A model-based co-clustering transfer learning solution. In: Pacific Rim Knowledge Acquisition Workshop. 2016:43\u201354.","DOI":"10.1007\/978-3-319-42706-5_4"},{"key":"9827_CR24","doi-asserted-by":"crossref","unstructured":"Leung WT, Lee DL, Lee WC. Clr:a collaborative location recommendation framework based on co-clustering. 2011:305\u201314.","DOI":"10.1145\/2009916.2009960"},{"key":"9827_CR25","doi-asserted-by":"crossref","unstructured":"Li H, Wang M, Hua XS. Msra-mm 2.0: A large-scale web multimedia dataset. In: IEEE International Conference on Data Mining Workshops. 2009:164\u201369.","DOI":"10.1109\/ICDMW.2009.46"},{"key":"9827_CR26","doi-asserted-by":"crossref","unstructured":"Lu Z, Liu G, Wang S. Sparse neighbor constrained co-clustering via category consistency learning. Knowledge-Based Systems. 2020.","DOI":"10.1016\/j.knosys.2020.105987"},{"key":"9827_CR27","unstructured":"Nie F, Wang X, Deng C, Huang H. Learning a structured optimal bipartite graph for co-clustering. In: Guyon I, Luxburg UV, Bengio S, Wallach H, Fergus R, Vishwanathan S, Garnett R (eds.) Advances in Neural Information Processing Systems 30. 2017:4129\u201338. Curran Associates, Inc. http:\/\/papers.nips.cc\/paper\/7001-learning-a-structured-optimal-bipartite-graph-for-co-clustering.pdf"},{"issue":"279","key":"9827_CR28","doi-asserted-by":"publisher","first-page":"416","DOI":"10.1016\/j.ins.2014.03.129","volume":"279","author":"X Peng","year":"2014","unstructured":"Peng X, Xu D. Structural regularized projection twin support vector machine for data classification. Information Sciences. 2014;279(279):416\u201332.","journal-title":"Information Sciences"},{"key":"9827_CR29","doi-asserted-by":"crossref","unstructured":"Prats-Montalbn JM, Lopez F, Valiente JM, Ferrer A. Feature extraction and classification in surface grading application using multivariate statistical projection models. In: Eighth International Conference on Quality Control by Artificial Vision. 2007:63560N\u201363560N\u201311.","DOI":"10.1117\/12.736919"},{"issue":"6191","key":"9827_CR30","first-page":"1492","volume":"344","author":"A Rodriguez","year":"2014","unstructured":"Rodriguez A, Laio A. Clustering by fast search and find of density peaks. Machine Learning. 2014;344(6191):1492.","journal-title":"Machine Learning"},{"key":"9827_CR31","doi-asserted-by":"crossref","unstructured":"Shan H, Banerjee A. Bayesian co-clustering. In: Eighth IEEE International Conference on Data Mining. 2008:530\u201339.","DOI":"10.1109\/ICDM.2008.91"},{"key":"9827_CR32","doi-asserted-by":"crossref","unstructured":"Shental N, Bar-Hillel A, Hertz T, Weinshall D. Gaussian mixture models with equivalence constraints. Constrained Clustering. 2009:33\u201358.","DOI":"10.1201\/9781584889977.ch3"},{"key":"9827_CR33","doi-asserted-by":"crossref","unstructured":"Shental N, Hertz T, Weinshall D, Pavel M. Adjustment learning and relevant component analysis. In: European Conference on Computer Vision. 2002:776\u201392.","DOI":"10.1007\/3-540-47979-1_52"},{"key":"9827_CR34","doi-asserted-by":"crossref","unstructured":"Shi, X, Fan W, Yu PS. Efficient semi-supervised spectral co-clustering with constraints. In: IEEE International Conference on Data Mining. 2011:043\u201348.","DOI":"10.1109\/ICDM.2010.64"},{"key":"9827_CR35","doi-asserted-by":"crossref","unstructured":"Wang P, Domeniconi C, Laskey KB. Nonparametric bayesian clustering ensembles. In: European Conference on Machine Learning and Knowledge Discovery in Databases. 2010:435\u201350.","DOI":"10.1007\/978-3-642-15939-8_28"},{"key":"9827_CR36","unstructured":"Webb AR, Copsey KD. Introduction to statistical pattern recognition. Academic Press, 1972:2133\u201343"},{"key":"9827_CR37","doi-asserted-by":"crossref","unstructured":"Whang JJ, Dhillon IS. Non-exhaustive, overlapping co-clustering. In: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management. 2017;2367\u201370.","DOI":"10.1145\/3132847.3133078"},{"issue":"215","key":"9827_CR38","doi-asserted-by":"publisher","first-page":"74","DOI":"10.1016\/j.fss.2012.10.016","volume":"215","author":"Y Yan","year":"2013","unstructured":"Yan Y, Chen L, Tjhi WC. Fuzzy semi-supervised co-clustering for text documents. Fuzzy Sets and Systems. 2013;215(215):74\u201389.","journal-title":"Fuzzy Sets and Systems"},{"key":"9827_CR39","doi-asserted-by":"crossref","unstructured":"Yu X, Yu G, Wang J, Domeniconi C. Co-clustering ensembles based on multiple relevance measures. IEEE Transactions on Knowledge and Data Engineering. 2019.","DOI":"10.1109\/TKDE.2019.2942029"},{"key":"9827_CR40","unstructured":"Zhang, Daoqiang, Chen, Songcan, Zhou, ZhiHua, Yang, Qiang. Constraint projections for ensemble learning. National conference on artificial intelligence. 2008;758\u2013763."}],"container-title":["Cognitive Computation"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12559-021-09827-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s12559-021-09827-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12559-021-09827-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,3,9]],"date-time":"2021-03-09T13:34:24Z","timestamp":1615296864000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s12559-021-09827-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1,18]]},"references-count":40,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2021,3]]}},"alternative-id":["9827"],"URL":"https:\/\/doi.org\/10.1007\/s12559-021-09827-8","relation":{},"ISSN":["1866-9956","1866-9964"],"issn-type":[{"value":"1866-9956","type":"print"},{"value":"1866-9964","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,1,18]]},"assertion":[{"value":"8 August 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 January 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 January 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with Ethical Standards"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflicts of Interest"}},{"value":"This article does not contain any studies with human participants or animals performed by any of the authors.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical Approval"}}]}}