{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T06:12:27Z","timestamp":1742969547995,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":21,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819756650"},{"type":"electronic","value":"9789819756667"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-981-97-5666-7_27","type":"book-chapter","created":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T20:37:45Z","timestamp":1722544665000},"page":"318-329","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Multi-view Bipartite Graph Clustering with Collaborative Regularization"],"prefix":"10.1007","author":[{"given":"Yong","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Jiongcheng","family":"Zhu","sequence":"additional","affiliation":[]},{"given":"Li","family":"Jiang","sequence":"additional","affiliation":[]},{"given":"Da","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Wenzhe","family":"Liu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,8,1]]},"reference":[{"issue":"3","key":"27_CR1","doi-asserted-by":"publisher","first-page":"3964","DOI":"10.1109\/TNNLS.2022.3201498","volume":"35","author":"X Meng","year":"2024","unstructured":"Meng, X., Feng, L., Guo, C., Wang, H., Wu, S.: A unified framework based on graph consensus term for multiview learning. IEEE Trans. Neural Netw. Learn. Syst.  35(3), 3964\u20133977 (2024)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"27_CR2","doi-asserted-by":"publisher","first-page":"6629","DOI":"10.1109\/TMM.2022.3212270","volume":"25","author":"H Wang","year":"2022","unstructured":"Wang, H., Jiang, G., Peng, J., Deng, R., Fu, X.: Towards adaptive consensus graph: multi-view clustering via graph collaboration. IEEE Trans. Multimed. 25, 6629\u20136641 (2022)","journal-title":"IEEE Trans. Multimed."},{"key":"27_CR3","doi-asserted-by":"crossref","unstructured":"Wan, X., et al.: Auto-weighted multi-view clustering for large-scale data. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 37, pp. 10078\u201310086 (2023)","DOI":"10.1609\/aaai.v37i8.26201"},{"key":"27_CR4","doi-asserted-by":"crossref","unstructured":"Xiao, X., Gong, Y.: Accurate complementarity learning for graph-based multiview clustering. IEEE Trans. Neural Netw. Learn. Syst.  1\u201313 (2023)","DOI":"10.1109\/TNNLS.2023.3292057"},{"key":"27_CR5","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2022.104986","volume":"114","author":"W Liu","year":"2022","unstructured":"Liu, W., Liu, L., Zhang, Y., Wang, H., Feng, L.: Adaptive multi-view multiple-means clustering via subspace reconstruction. Eng. Appl. Artif. Intell. 114, 104986 (2022)","journal-title":"Eng. Appl. Artif. Intell."},{"key":"27_CR6","doi-asserted-by":"crossref","unstructured":"Fang, S., Huang, D., Cai, X., Wang, C., He, C., Tang, Y.: Efficient multi-view clustering via unified and discrete bipartite graph learning. IEEE Trans. Neural Netw. Learn. Syst. 1\u201312 (2023)","DOI":"10.1109\/TNNLS.2023.3261460"},{"key":"27_CR7","doi-asserted-by":"crossref","unstructured":"Liu, M., Palade, V., Zheng, Z.: Learning the consensus and complementary information for large-scale multi-view clustering. Neural Netw. 172, 106103 (2024)","DOI":"10.1016\/j.neunet.2024.106103"},{"issue":"8","key":"27_CR8","doi-asserted-by":"publisher","first-page":"9950","DOI":"10.1109\/TPAMI.2023.3277532","volume":"45","author":"H Zhang","year":"2023","unstructured":"Zhang, H., Nie, F., Li, X.: Large-scale clustering with structured optimal bipartite graph. IEEE Trans. Pattern Anal. Mach. Intell. 45(8), 9950\u20139963 (2023)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"4","key":"27_CR9","doi-asserted-by":"publisher","first-page":"351","DOI":"10.1002\/widm.1057","volume":"2","author":"H Kriegel","year":"2012","unstructured":"Kriegel, H., Kr\u00f6ger, P., Zimek, A.: Subspace clustering. Wiley Interdiscip. Rev. Data Min.  Knowl. Discov. 2(4), 351\u2013364 (2012)","journal-title":"Wiley Interdiscip. Rev. Data Min. Knowl. Discov."},{"issue":"1","key":"27_CR10","doi-asserted-by":"publisher","first-page":"330","DOI":"10.1109\/TPAMI.2020.3011148","volume":"44","author":"X Li","year":"2020","unstructured":"Li, X., Zhang, H., Wang, R., Nie, F.: Multiview clustering: a scalable and parameter-free bipartite graph fusion method. IEEE Trans. Pattern Anal. Mach. Intell. 44(1), 330\u2013344 (2020)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"27_CR11","doi-asserted-by":"crossref","unstructured":"K, F.: On a theorem of Weyl concerning eigenvalues of linear transformations I. Proc. Natl. Acad. Sci. 35(11), 652\u2013655 (1949)","DOI":"10.1073\/pnas.35.11.652"},{"key":"27_CR12","unstructured":"Nie, F., Wang, X., Deng, C., Huang, H.: Learning a structured optimal bipartite graph for co-clustering. In: Advances in Neural Information Processing Systems, vol. 30 (2017)"},{"key":"27_CR13","unstructured":"Huang, J., Nie, F., Huang, H.: A new simplex sparse learning model to measure data similarity for clustering. In: Twenty-Fourth International Joint Conference on Artificial Intelligence (2015)"},{"key":"27_CR14","unstructured":"Dimitri, P.: Constrained Optimization and Lagrange Multiplier Methods. Academic Press, Cambridge  (2014)"},{"issue":"9","key":"27_CR15","doi-asserted-by":"publisher","first-page":"8681","DOI":"10.1109\/TCYB.2021.3051182","volume":"52","author":"D Wang","year":"2021","unstructured":"Wang, D., Han, S., Wang, Q., He, L., Tian, Y., Gao, X.: Pseudo-label guided collective matrix factorization for multiview clustering. IEEE Trans. Cybern. 52(9), 8681\u20138691 (2021)","journal-title":"IEEE Trans. Cybern."},{"key":"27_CR16","doi-asserted-by":"crossref","unstructured":"Liu, S., Wang, S., Zhang, P., Xu, K., Liu, X., Zhang, C., Gao, F.: Efficient one-pass multi-view subspace clustering with consensus anchors. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 36, pp. 7576\u20137584 (2022)","DOI":"10.1609\/aaai.v36i7.20723"},{"key":"27_CR17","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2023.110424","volume":"267","author":"X Zou","year":"2023","unstructured":"Zou, X., Tang, C., Zheng, X., Sun, K., Zhang, W., Ding, D.: Inclusivity induced adaptive graph learning for multi-view clustering. Knowl. Based Syst. 267, 110424 (2023)","journal-title":"Knowl. Based Syst."},{"key":"27_CR18","doi-asserted-by":"crossref","unstructured":"Wang, J., Tang, C., Wan, Z., Zhang, W., Sun, K., Albert Y.: Efficient and effective one-step multiview clustering. IEEE Trans.  Neural Netw. Learn. Syst.  1\u201312 (2023)","DOI":"10.1109\/TNNLS.2023.3253246"},{"issue":"11","key":"27_CR19","doi-asserted-by":"publisher","first-page":"11388","DOI":"10.1109\/TKDE.2023.3236698","volume":"35","author":"D Huang","year":"2023","unstructured":"Huang, D., Wang, C., Lai, J.: Fast multi-view clustering via ensembles: towards scalability, superiority, and simplicity. IEEE Trans. Knowl. Data Eng. 35(11), 11388\u201311402 (2023)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"27_CR20","doi-asserted-by":"crossref","unstructured":"Deng, X., Huang, D., Chen, D., Wang, C., Lai, J.: Strongly augmented contrastive clustering. Pattern Recogn. 139, 109470 (2023)","DOI":"10.1016\/j.patcog.2023.109470"},{"key":"27_CR21","doi-asserted-by":"crossref","unstructured":"Huang, D., Wang, C., Peng, H., Lai, J., Kwoh, C.: Enhanced ensemble clustering via fast propagation of cluster-wise similarities. IEEE Trans. Syst. Man Cybern. Syst. 51(1), 508\u2013520 (2018)","DOI":"10.1109\/TSMC.2018.2876202"}],"container-title":["Lecture Notes in Computer Science","Advanced Intelligent Computing Technology and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-97-5666-7_27","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T20:45:42Z","timestamp":1722545142000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-97-5666-7_27"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9789819756650","9789819756667"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-981-97-5666-7_27","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"1 August 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Tianjin","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":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 August 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 August 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ic-icc.cn\/2024\/index.htm","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}