{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T13:27:15Z","timestamp":1726061235444},"publisher-location":"Cham","reference-count":26,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030362034"},{"type":"electronic","value":"9783030362041"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-36204-1_25","type":"book-chapter","created":{"date-parts":[[2019,11,28]],"date-time":"2019-11-28T14:03:54Z","timestamp":1574949834000},"page":"302-311","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Hybrid Matrix Factorization for Multi-view Clustering"],"prefix":"10.1007","author":[{"given":"Hongbin","family":"Yu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xin","family":"Shu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,11,29]]},"reference":[{"key":"25_CR1","first-page":"28","volume":"22","author":"MR Amini","year":"2009","unstructured":"Amini, M.R., Usunier, N., Goutte, C.: Learning from multiple partially observed views - an application to multilingual text categorization. Adv. Neural Inf. Process. Syst. 22, 28\u201336 (2009)","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"25_CR2","unstructured":"Bickel, S., Scheffer, T.: Multi-view clustering. In: ICDM vol. 4, pp. 19\u201326 (2004)"},{"key":"25_CR3","unstructured":"Blaschko, M.B., Lampert, C.H.: Correlational spectral clustering. In: IEEE Conference on Computer Vision and Pattern Recognition, 2008. CVPR 2008, pp. 1\u20138. IEEE (2008)"},{"issue":"Jan","key":"25_CR4","first-page":"993","volume":"3","author":"DM Blei","year":"2003","unstructured":"Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent dirichlet allocation. J. Mach. Learn. Res. 3(Jan), 993\u20131022 (2003)","journal-title":"J. Mach. Learn. Res."},{"key":"25_CR5","doi-asserted-by":"crossref","unstructured":"Blum, A., Mitchell, T.M.: Combining labeled and unlabeled data with co-training. In: Proceedings of the Eleventh Annual Conference on Computational Learning Theory, pp. 92\u2013100 (1998)","DOI":"10.1145\/279943.279962"},{"key":"25_CR6","unstructured":"Cai, X., Nie, F., Huang, H.: Multi-view k-means clustering on big data. In: Proceedings of the Twenty-Third international joint conference on Artificial Intelligence, pp. 2598\u20132604. AAAI Press (2013)"},{"key":"25_CR7","doi-asserted-by":"crossref","unstructured":"Chaudhuri, K., Kakade, S.M., Livescu, K., Sridharan, K.: Multi-view clustering via canonical correlation analysis. In: Proceedings of the 26th Annual International Conference on Machine Learning, pp. 129\u2013136. ACM (2009)","DOI":"10.1145\/1553374.1553391"},{"key":"25_CR8","unstructured":"Ding, C.H.Q., Li, T., Peng, W.: Nonnegative matrix factorization and probabilistic latent semantic indexing: equivalence, chi-square statistic, and a hybrid method. In: AAAI 2006 Proceedings of the 21st National Conference on Artificial Intelligence , vol. 1, pp. 342\u2013347 (2006)"},{"key":"25_CR9","first-page":"1","volume":"74","author":"R Du","year":"2017","unstructured":"Du, R., Drake, B.L., Park, H.: Hybrid clustering based on content and connection structure using joint nonnegative matrix factorization. J. Global Optim. 74, 1\u201317 (2017)","journal-title":"J. Global Optim."},{"issue":"1","key":"25_CR10","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1007\/BF01908075","volume":"2","author":"L Hubert","year":"1985","unstructured":"Hubert, L., Arabie, P.: Comparing partitions. J. Classif. 2(1), 193\u2013218 (1985). \nhttps:\/\/doi.org\/10.1007\/BF01908075","journal-title":"J. Classif."},{"issue":"3","key":"25_CR11","doi-asserted-by":"publisher","first-page":"264","DOI":"10.1145\/331499.331504","volume":"31","author":"A Jain","year":"1999","unstructured":"Jain, A., Murty, M., Flynn, P.: Data clustering: a review. ACM Comput. Surv. 31(3), 264\u2013323 (1999)","journal-title":"ACM Comput. Surv."},{"issue":"2","key":"25_CR12","doi-asserted-by":"publisher","first-page":"713","DOI":"10.1137\/07069239X","volume":"30","author":"H Kim","year":"2008","unstructured":"Kim, H., Park, H.: Nonnegative matrix factorization based on alternating nonnegativity constrained least squares and active set method. SIAM J. Matrix Anal. Appl. 30(2), 713\u2013730 (2008)","journal-title":"SIAM J. Matrix Anal. Appl."},{"key":"25_CR13","doi-asserted-by":"crossref","unstructured":"Kuang, D., Ding, C., Park, H.: Symmetric nonnegative matrix factorization for graph clustering. In: 12th SIAM International Conference on Data Mining, SDM 2012, pp. 106\u2013117 (2012)","DOI":"10.1137\/1.9781611972825.10"},{"key":"25_CR14","unstructured":"Kumar, A., Daum\u00e9, H.: A co-training approach for multi-view spectral clustering. In: Proceedings of the 28th International Conference on Machine Learning (ICML-11), pp. 393\u2013400 (2011)"},{"key":"25_CR15","unstructured":"Kumar, A., Rai, P., Daume, H.: Co-regularized multi-view spectral clustering. In: Advances in Neural Information Processing Systems, pp. 1413\u20131421 (2011)"},{"issue":"6755","key":"25_CR16","doi-asserted-by":"publisher","first-page":"788","DOI":"10.1038\/44565","volume":"401","author":"DD Lee","year":"1999","unstructured":"Lee, D.D., Seung, H.S.: Learning the parts of objects by non-negative matrix factorization. Nature 401(6755), 788\u2013791 (1999)","journal-title":"Nature"},{"key":"25_CR17","doi-asserted-by":"crossref","unstructured":"Liu, J., Wang, C., Gao, J., Han, J.: Multi-view clustering via joint nonnegative matrix factorization. In: Proceedings of SDM, vol. 13, pp. 252\u2013260. SIAM (2013)","DOI":"10.1137\/1.9781611972832.28"},{"issue":"2","key":"25_CR18","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1023\/B:VISI.0000029664.99615.94","volume":"60","author":"DG Lowe","year":"2004","unstructured":"Lowe, D.G.: Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vis. 60(2), 91\u2013110 (2004)","journal-title":"Int. J. Comput. Vis."},{"key":"25_CR19","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511809071","volume-title":"Introduction to Information Retrieval","author":"CD Manning","year":"2008","unstructured":"Manning, C.D., Raghavan, P., Sch\u00fctze, H., et al.: Introduction to Information Retrieval, vol. 1. Cambridge University Press, Cambridge (2008)"},{"key":"25_CR20","unstructured":"Ng, A.Y., Jordan, M.I., Weiss, Y., et al.: On spectral clustering: Analysis and an algorithm. In: Advances in neural information processing systems, vol. 2, 849\u2013856 (2002)"},{"key":"25_CR21","doi-asserted-by":"crossref","unstructured":"Rasiwasia, N., et al.: A new approach to cross-modal multimedia retrieval. In: Proceedings of the 18th ACM International Conference on Multimedia, pp. 251\u2013260. ACM (2010)","DOI":"10.1145\/1873951.1873987"},{"key":"25_CR22","unstructured":"de Sa, V.R.: Spectral clustering with two views. In: ICML Workshop on Learning with Multiple Views, pp. 20\u201327 (2005)"},{"issue":"8","key":"25_CR23","doi-asserted-by":"publisher","first-page":"888","DOI":"10.1109\/34.868688","volume":"22","author":"J Shi","year":"2000","unstructured":"Shi, J., Malik, J.: Normalized cuts and image segmentation. IEEE Trans. Patt. Anal. Mach. Intell. 22(8), 888\u2013905 (2000)","journal-title":"IEEE Trans. Patt. Anal. Mach. Intell."},{"key":"25_CR24","unstructured":"Tang, W., Lu, Z., Dhillon, I.S.: Clustering with multiple graphs. In: Ninth IEEE International Conference on Data Mining, 2009. ICDM 2009, pp. 1016\u20131021. IEEE (2009)"},{"key":"25_CR25","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1016\/j.patrec.2013.12.003","volume":"41","author":"X Zhao","year":"2014","unstructured":"Zhao, X., Evans, N., Dugelay, J.L.: A subspace co-training framework for multi-view clustering. Patt. Recogn. Lett. 41, 73\u201382 (2014)","journal-title":"Patt. Recogn. Lett."},{"key":"25_CR26","doi-asserted-by":"crossref","unstructured":"Zhou, D., Burges, C.J.C.: Spectral clustering and transductive learning with multiple views. In: International Conference on Machine Learning (2007)","DOI":"10.1145\/1273496.1273642"}],"container-title":["Lecture Notes in Computer Science","Intelligence Science and Big Data Engineering. Big Data and Machine Learning"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-36204-1_25","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,11,28]],"date-time":"2019-11-28T14:11:38Z","timestamp":1574950298000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-36204-1_25"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030362034","9783030362041"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-36204-1_25","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"29 November 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IScIDE","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Science and Big Data Engineering","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Nanjing","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 October 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 October 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iscide2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/iscide.njust.edu.cn\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}