{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:42:03Z","timestamp":1742913723508,"version":"3.40.3"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030607951"},{"type":"electronic","value":"9783030607968"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"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":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-60796-8_37","type":"book-chapter","created":{"date-parts":[[2020,10,15]],"date-time":"2020-10-15T07:02:59Z","timestamp":1602745379000},"page":"432-443","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Multi-stage Hierarchical Clustering Method Based on Hypergraph"],"prefix":"10.1007","author":[{"given":"Yue","family":"Xi","sequence":"first","affiliation":[]},{"given":"Yonggang","family":"Lu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,10,5]]},"reference":[{"key":"37_CR1","unstructured":"Han, J., Kamber, M.: Data Mining: Concept and Technology. Machine Industry Press (2001)"},{"key":"37_CR2","volume-title":"Finding Groups in Data: An Introduction to Cluster Analysis","author":"L Kaufman","year":"2009","unstructured":"Kaufman, L., Rousseeuw, P.J.: Finding Groups in Data: An Introduction to Cluster Analysis. Wiley, New York (2009)"},{"key":"37_CR3","unstructured":"MacQueen, J.: Some methods for classification and analysis of multivariate observations. In: Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, pp. 281\u2013297 (1967)"},{"issue":"8","key":"37_CR4","doi-asserted-by":"publisher","first-page":"68","DOI":"10.1109\/2.781637","volume":"32","author":"G Karypis","year":"1999","unstructured":"Karypis, G., Han, E.H., Kumar, V.: Chameleon: hierarchical clustering using dynamic modeling. Computer 32(8), 68\u201375 (1999)","journal-title":"Computer"},{"issue":"8","key":"37_CR5","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. Pattern Anal. Mach. Intell. 22(8), 888\u2013905 (2000)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"2","key":"37_CR6","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1007\/s10618-005-0361-3","volume":"10","author":"Y Zhao","year":"2005","unstructured":"Zhao, Y., Karypis, G.: Hierarchical clustering algorithms for document datasets. Data Min. Knowl. Discov. 10(2), 141\u2013168 (2005). https:\/\/doi.org\/10.1007\/s10618-005-0361-3","journal-title":"Data Min. Knowl. Discov."},{"key":"37_CR7","doi-asserted-by":"crossref","unstructured":"Cao, X., Su, T., Wang, P., et al.: An optimized chameleon algorithm based on local features. In: Proceedings of the 2018 10th International Conference on Machine Learning and Computing, pp. 184\u2013192 (2018)","DOI":"10.1145\/3195106.3195118"},{"key":"37_CR8","doi-asserted-by":"crossref","unstructured":"Dong, Y., Wang, Y., Jiang, K.: Improvement of partitioning and merging phase in chameleon clustering algorithm. In: 2018 3rd International Conference on Computer and Communication Systems, pp. 29\u201332 (2018)","DOI":"10.1109\/CCOMS.2018.8463288"},{"issue":"1","key":"37_CR9","doi-asserted-by":"publisher","first-page":"10.1","DOI":"10.1145\/3299876","volume":"13","author":"T Barton","year":"2019","unstructured":"Barton, T., Bruna, T., Kord\u00edk, P.: Chameleon 2: an improved graph-based clustering algorithm. ACM Trans. Knowl. Discov. Data 13(1), 10.1\u201310.27 (2019)","journal-title":"ACM Trans. Knowl. Discov. Data"},{"key":"37_CR10","doi-asserted-by":"crossref","unstructured":"Zhou, D., Huang, J., Sch\u00f6lkopf, B.: Learning with hypergraphs: clustering, classification, and embedding. In: Proceedings of the Twentieth Annual Conference on Neural Information Processing Systems, pp. 1601\u20131608. MIT Press (2010)","DOI":"10.7551\/mitpress\/7503.003.0205"},{"issue":"1","key":"37_CR11","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1109\/92.748202","volume":"7","author":"G Karypis","year":"1999","unstructured":"Karypis, G., Aggarwal, R., Kumar, V., et al.: Multilevel hypergraph partitioning: applications in VLSI domain. IEEE Trans. Very Large Scale Integr. (VLSI) Syst. 7(1), 69\u201379 (1999)","journal-title":"IEEE Trans. Very Large Scale Integr. (VLSI) Syst."},{"key":"37_CR12","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"323","DOI":"10.1007\/978-3-319-63315-2_28","volume-title":"Intelligent Computing Methodologies","author":"T Wang","year":"2017","unstructured":"Wang, T., Lu, Y., Han, Y.: Clustering of high dimensional handwritten data by an improved hypergraph partition method. In: Huang, D.-S., Hussain, A., Han, K., Gromiha, M.M. (eds.) ICIC 2017. LNCS (LNAI), vol. 10363, pp. 323\u2013334. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-63315-2_28"},{"key":"37_CR13","unstructured":"Kumar, T., Vaidyanathan, S., Ananthapadmanabhan, H., et al.: Hypergraph clustering: a modularity maximization approach. arXiv preprint arXiv:1812.10869 (2018)"},{"key":"37_CR14","unstructured":"Veldt, N., Benson, A.R., Kleinberg, J.: Localized flow-based clustering in hypergraphs. arXiv preprint arXiv:2002.09441 (2020)"},{"key":"37_CR15","unstructured":"Karypis, G., Kumar, V.: METIS\u2013unstructured graph partitioning and sparse matrix ordering system, version 2.0 (1995)"},{"key":"37_CR16","first-page":"2579","volume":"9","author":"L van der Maaten","year":"2008","unstructured":"van der Maaten, L., Hinton, G.: Visualizing data using t-SNE. J. Mach. Learn. Res. 9, 2579\u20132605 (2008)","journal-title":"J. Mach. Learn. Res."},{"key":"37_CR17","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"403","DOI":"10.1007\/978-3-642-17517-6_36","volume-title":"Algorithms and Computation","author":"D Eppstein","year":"2010","unstructured":"Eppstein, D., L\u00f6ffler, M., Strash, D.: Listing all maximal cliques in sparse graphs in near-optimal time. In: Cheong, O., Chwa, K.-Y., Park, K. (eds.) ISAAC 2010. LNCS, vol. 6506, pp. 403\u2013414. Springer, Heidelberg (2010). https:\/\/doi.org\/10.1007\/978-3-642-17517-6_36"},{"issue":"1","key":"37_CR18","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1007\/s10115-012-0609-3","volume":"39","author":"T Hu","year":"2014","unstructured":"Hu, T., Liu, C., Tang, Y., et al.: High dimensional clustering: a clique-based hypergraph partitioning framework. Knowl. Inf. Syst. 39(1), 61\u201388 (2014). https:\/\/doi.org\/10.1007\/s10115-012-0609-3","journal-title":"Knowl. Inf. Syst."},{"key":"37_CR19","doi-asserted-by":"crossref","unstructured":"Fiduccia, C.M., Mattheyses, R.M.: A linear-time heuristic for improving network partitions. In: Papers on Twenty-Five Years of Electronic Design Automation, pp. 241\u2013247. ACM (1988)","DOI":"10.1145\/62882.62910"},{"key":"37_CR20","unstructured":"UCI Machine Learning Repository. http:\/\/archive.ics.uci.edu\/ml\/index.php . Accessed 11 Apr 2020"},{"issue":"383","key":"37_CR21","doi-asserted-by":"publisher","first-page":"553","DOI":"10.1080\/01621459.1983.10478008","volume":"78","author":"EB Fowlkes","year":"1983","unstructured":"Fowlkes, E.B., Mallows, C.L.: A method for comparing two hierarchical clusterings. J. Am. Stat. Assoc. 78(383), 553\u2013569 (1983)","journal-title":"J. Am. Stat. Assoc."}],"container-title":["Lecture Notes in Computer Science","Intelligent Computing Methodologies"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-60796-8_37","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,9]],"date-time":"2023-10-09T20:21:21Z","timestamp":1696882881000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-60796-8_37"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030607951","9783030607968"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-60796-8_37","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"5 October 2020","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":"Bari","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 October 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 October 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/ic-ic.tongji.edu.cn\/2020\/index.htm","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}