{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T09:31:11Z","timestamp":1743154271526,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":17,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819947546"},{"type":"electronic","value":"9789819947553"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-981-99-4755-3_61","type":"book-chapter","created":{"date-parts":[[2023,7,30]],"date-time":"2023-07-30T00:02:38Z","timestamp":1690675358000},"page":"705-714","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["BYOL Network Based Contrastive Clustering"],"prefix":"10.1007","author":[{"given":"Xuehao","family":"Chen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weidong","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jin","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yingxu","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shiyuan","family":"Han","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tao","family":"Du","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cheng","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bowen","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,7,30]]},"reference":[{"issue":"4","key":"61_CR1","doi-asserted-by":"publisher","first-page":"434","DOI":"10.1109\/TPAMI.2004.1265860","volume":"26","author":"MS Yang","year":"2004","unstructured":"Yang, M.S., Wu, K.L.: A similarity-based robust clustering method. IEEE Trans. Pattern Anal. Mach. Intell. 26(4), 434\u2013448 (2004)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"6","key":"61_CR2","doi-asserted-by":"publisher","first-page":"1317","DOI":"10.1109\/TFUZZ.2018.2879465","volume":"27","author":"C Atilgan","year":"2018","unstructured":"Atilgan, C., Nasibov, E.N.: A space efficient minimum spanning tree approach to the fuzzy joint points clustering algorithm. IEEE Trans. Fuzzy Syst. 27(6), 1317\u20131322 (2018)","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"61_CR3","unstructured":"Dixon, W.J., Massey, Jr. F.J.: Introduction to statistical analysis. New York, NY, USA: McGraw-Hill, 344, (1951)"},{"issue":"1","key":"61_CR4","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.88.018702","volume":"88","author":"D Horn","year":"2001","unstructured":"Horn, D., Gottlieb, A.: Algorithm for data clustering in pattern recognition problems based on quantum mechanics. Phys. Rev. Lett. 88(1), 018702 (2001)","journal-title":"Phys. Rev. Lett."},{"issue":"4","key":"61_CR5","doi-asserted-by":"publisher","first-page":"433","DOI":"10.1002\/wics.101","volume":"2","author":"H Abdi","year":"2010","unstructured":"Abdi, H., Williams, L.J.: Principal component analysis. Wiley Interdiscip. Rev. Comput. Stat. 2(4), 433\u2013459 (2010)","journal-title":"Wiley Interdiscip. Rev. Comput. Stat."},{"issue":"3","key":"61_CR6","doi-asserted-by":"publisher","first-page":"1171","DOI":"10.1214\/009053607000000677","volume":"36","author":"T Hofmann","year":"2008","unstructured":"Hofmann, T., Sch\u00f6lkopf, B., Smola, A.J.: Kernel methods in machine learning. Ann. Stat. 36(3), 1171\u20131220 (2008)","journal-title":"Ann. Stat."},{"key":"61_CR7","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1016\/S1570-8659(97)80003-8","volume":"5","author":"C Bernardi","year":"1997","unstructured":"Bernardi, C., Maday, Y.: Spectral methods. Handbook of numerical analysis 5, 209\u2013485 (1997)","journal-title":"Spectral methods. Handbook of numerical analysis"},{"key":"61_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1007\/978-3-642-41822-8_15","volume-title":"Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications","author":"C Song","year":"2013","unstructured":"Song, C., Liu, F., Huang, Y., Wang, L., Tan, T.: Auto-encoder based data clustering. In: Ruiz-Shulcloper, J., Sanniti di Baja, G. (eds.) CIARP 2013. LNCS, vol. 8258, pp. 117\u2013124. Springer, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-642-41822-8_15"},{"key":"61_CR9","unstructured":"Chen, T., Kornblith, S., Norouzi, M., et al.: A simple framework for contrastive learning of visual representations. Int. Conf. Mach. Learn., 1597\u20131607 (2020)"},{"key":"61_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"268","DOI":"10.1007\/978-3-030-58607-2_16","volume-title":"Computer Vision \u2013 ECCV 2020","author":"W Van Gansbeke","year":"2020","unstructured":"Van Gansbeke, W., Vandenhende, S., Georgoulis, S., Proesmans, M., Van Gool, L.: SCAN: learning to classify images without labels. In: Vedaldi, A., Bischof, H., Brox, T., Frahm, J.-M. (eds.) ECCV 2020. LNCS, vol. 12355, pp. 268\u2013285. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-58607-2_16"},{"key":"61_CR11","doi-asserted-by":"crossref","unstructured":"Li, Y., Hu, P., Liu, Z., et al.: Contrastive clustering. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 35, issue 10, pp. 8547\u20138555 (2021)","DOI":"10.1609\/aaai.v35i10.17037"},{"key":"61_CR12","first-page":"21271","volume":"33","author":"JB Grill","year":"2020","unstructured":"Grill, J.B., Strub, F., Altch\u00e9, F., et al.: Bootstrap your own latent-a new approach to self-supervised learning. Adv. Neural. Inf. Process. Syst. 33, 21271\u201321284 (2020)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"61_CR13","doi-asserted-by":"crossref","unstructured":"Ji, X., Henriques, J.F., Vedaldi, A.: Invariant information clustering for unsupervised image classification and segmentation. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 9865\u20139874 (2019)","DOI":"10.1109\/ICCV.2019.00996"},{"key":"61_CR14","doi-asserted-by":"crossref","unstructured":"Wu, J., Long, K., Wang, F., et al.: Deep comprehensive correlation mining for image clustering. In: Proceedings of the IEEE\/CVF international conference on computer vision, pp. 8150\u20138159 (2019)","DOI":"10.1109\/ICCV.2019.00824"},{"key":"61_CR15","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"54","DOI":"10.1007\/978-3-030-58568-6_4","volume-title":"Computer Vision \u2013 ECCV 2020","author":"J Zhao","year":"2020","unstructured":"Zhao, J., Lu, D., Ma, K., Zhang, Y., Zheng, Y.: Deep image clustering with category-style representation. In: Vedaldi, A., Bischof, H., Brox, T., Frahm, J.-M. (eds.) ECCV 2020. LNCS, vol. 12359, pp. 54\u201370. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-58568-6_4"},{"key":"61_CR16","unstructured":"Darlow, L.N., Storkey, A.: Dhog: deep hierarchical object grouping. arXiv preprint arXiv:2003.08821 (2020)"},{"key":"61_CR17","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"735","DOI":"10.1007\/978-3-030-58595-2_44","volume-title":"Computer Vision \u2013 ECCV 2020","author":"C Niu","year":"2020","unstructured":"Niu, C., Zhang, J., Wang, G., Liang, J.: GATCluster: self-supervised gaussian-attention network for image clustering. In: Vedaldi, A., Bischof, H., Brox, T., Frahm, J.-M. (eds.) ECCV 2020. LNCS, vol. 12370, pp. 735\u2013751. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-58595-2_44"}],"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\/978-981-99-4755-3_61","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,1]],"date-time":"2023-08-01T23:21:44Z","timestamp":1690932104000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-99-4755-3_61"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9789819947546","9789819947553"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-981-99-4755-3_61","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"30 July 2023","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":"Zhengzhou","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":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 August 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 August 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2023a","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ic-icc.cn\/2023\/index.htm","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}