{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:50:04Z","timestamp":1742914204857,"version":"3.40.3"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031178009"},{"type":"electronic","value":"9783031178016"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-17801-6_4","type":"book-chapter","created":{"date-parts":[[2022,9,29]],"date-time":"2022-09-29T21:03:54Z","timestamp":1664485434000},"page":"33-43","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Evidential Clustering by\u00a0Competitive Agglomeration"],"prefix":"10.1007","author":[{"given":"Lulu","family":"Xu","sequence":"first","affiliation":[]},{"given":"Qian","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Pei-hong","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Zhi-gang","family":"Su","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,9,30]]},"reference":[{"key":"4_CR1","first-page":"2","volume":"113","author":"C Gong","year":"2020","unstructured":"Gong, C., Su, Z.G., Wang, P.H., Wang, Q.: An evidential clustering algorithm by finding belief-peaks and disjoint neighborhoods. Pattern Recogn. 113, 2 (2020)","journal-title":"Pattern Recogn."},{"key":"4_CR2","doi-asserted-by":"crossref","unstructured":"Gong, C.Y., Su, Z.G., Wang, P.H., You, Y.: Distributed evidential clustering toward time series with big data issue. Expert Syst. Appl. 191, 116279 (2022)","DOI":"10.1016\/j.eswa.2021.116279"},{"issue":"5","key":"4_CR3","doi-asserted-by":"publisher","first-page":"3125","DOI":"10.1007\/s00500-020-04667-4","volume":"24","author":"CY Gong","year":"2020","unstructured":"Gong, C.Y., Wang, P.H., Su, Z.G.: An interactive nonparametric evidential regression algorithm with instance selection. Soft. Comput. 24(5), 3125\u20133140 (2020)","journal-title":"Soft. Comput."},{"key":"4_CR4","doi-asserted-by":"publisher","first-page":"123","DOI":"10.1016\/j.ijar.2021.08.006","volume":"138","author":"CY Gong","year":"2021","unstructured":"Gong, C.Y., Su, Z.G., Wang, P.H., Wang, Q., You, Y.: Evidential instance selection for k-nearest neighbor classification of big data. Int. J. Approximate Reasoning 138, 123\u2013144 (2021)","journal-title":"Int. J. Approximate Reasoning"},{"key":"4_CR5","doi-asserted-by":"crossref","unstructured":"Gong, C., Su, Z.G., Wang, P.H., Wang, Q., You, Y.: A sparse reconstructive evidential-nearest neighbor classifier for high-dimensional data. IEEE Trans. Knowl. Data Eng. (2022)","DOI":"10.1109\/TKDE.2022.3157346"},{"key":"4_CR6","unstructured":"Han, J., Kamber, M., Pei, J.: EnglishData mining: concepts and techniques (2012)"},{"key":"4_CR7","doi-asserted-by":"crossref","unstructured":"Bezdek, J.C.: Pattern recognition with fuzzy objective function algorithms. Kluwer academic (1981)","DOI":"10.1007\/978-1-4757-0450-1"},{"issue":"7","key":"4_CR8","doi-asserted-by":"publisher","first-page":"1109","DOI":"10.1016\/S0031-3203(96)00140-9","volume":"30","author":"H Frigui","year":"1997","unstructured":"Frigui, H., Krishnapuram, R.: Clustering by competitive agglomeration. Pattern Recogn. 30(7), 1109\u20131119 (1997)","journal-title":"Pattern Recogn."},{"key":"4_CR9","unstructured":"Grira, N., Crucianu, M., Boujemaa, N.: Semi-supervised fuzzy clustering with pairwise-constrained competitive agglomeration. In: Fuzzy Systems, 2005. FUZZ 2005. The 14th IEEE International Conference on (2005)"},{"issue":"5","key":"4_CR10","doi-asserted-by":"publisher","first-page":"1834","DOI":"10.1016\/j.patcog.2007.10.004","volume":"41","author":"N Grira","year":"2008","unstructured":"Grira, N., Crucianu, M., Boujemaa, N.: Active semi-supervised fuzzy clustering. Pattern Recogn. 41(5), 1834\u20131844 (2008)","journal-title":"Pattern Recogn."},{"issue":"8","key":"4_CR11","doi-asserted-by":"publisher","first-page":"5281","DOI":"10.1016\/j.asoc.2011.05.032","volume":"11","author":"CF Gao","year":"2011","unstructured":"Gao, C.F., Wu, X.J.: A new semi-supervised clustering algorithm with pairwise constraints by competitive agglomeration. Appl. Soft Comput. J. 11(8), 5281\u20135291 (2011)","journal-title":"Appl. Soft Comput. J."},{"issue":"2","key":"4_CR12","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1109\/91.227387","volume":"1","author":"R Krishnapuram","year":"1993","unstructured":"Krishnapuram, R., Keller, J.: A possibilistic approach to clustering. IEEE Trans. Fuzzy Syst. 1(2), 98\u2013110 (1993)","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"4_CR13","doi-asserted-by":"crossref","unstructured":"Shafer, G.: A Mathematical Theory of Evidence, vol. 1 (1976)","DOI":"10.1515\/9780691214696"},{"issue":"4","key":"4_CR14","doi-asserted-by":"publisher","first-page":"1384","DOI":"10.1016\/j.patcog.2007.08.014","volume":"41","author":"MH Masson","year":"2008","unstructured":"Masson, M.H., Denoeux, T.: ECM: an evidential version of the fuzzy c -means algorithm. Pattern Recogn. 41(4), 1384\u20131397 (2008)","journal-title":"Pattern Recogn."},{"key":"4_CR15","doi-asserted-by":"publisher","first-page":"234","DOI":"10.1007\/978-3-642-29461-7","volume-title":"Belief Functions: Theory and Applications","author":"ZG Su","year":"2018","unstructured":"Su, Z.G., Zhou, H.Y., Wang, P.H., Zhao, G., Zhao, M.: E2cm: an evolutionary version of evidential c-means clustering algorithm. In: Destercke, S., Denoeux, T., Cuzzolin, F., Martin, A. (eds.) Belief Functions: Theory and Applications, pp. 234\u2013242. Springer International Publishing, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-642-29461-7"},{"issue":"6191","key":"4_CR16","doi-asserted-by":"publisher","first-page":"1492","DOI":"10.1126\/science.1242072","volume":"344","author":"A Rodriguez","year":"2014","unstructured":"Rodriguez, A., Laio, A.: Clustering by fast search and find of density peaks. Science 344(6191), 1492\u20131496 (2014)","journal-title":"Science"},{"issue":"1","key":"4_CR17","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1109\/TFUZZ.2018.2869125","volume":"27","author":"ZG Su","year":"2018","unstructured":"Su, Z.G., Denoeux, T.: BPEC: Belief-peaks evidential clustering. IEEE Trans. Fuzzy Syst. 27(1), 111\u2013123 (2018)","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"4_CR18","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.105982","volume":"200","author":"CY Gong","year":"2020","unstructured":"Gong, C.Y., Su, Z.G., Wang, P.H., Wang, Q.: Cumulative belief peaks evidential k-nearest neighbor clustering. Knowl.-Based Syst. 200, 105982 (2020)","journal-title":"Knowl.-Based Syst."},{"key":"4_CR19","unstructured":"Bache, K., Lichman, M.: UCI machine learning repository (2013)"},{"issue":"1","key":"4_CR20","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1016\/j.patcog.2007.04.010","volume":"41","author":"H Chang","year":"2008","unstructured":"Chang, H., Yeung, D.-Y.: Robust path-based spectral clustering. Pattern Recogn. 41(1), 191\u2013203 (2008)","journal-title":"Pattern Recogn."}],"container-title":["Lecture Notes in Computer Science","Belief Functions: Theory and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-17801-6_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T03:03:29Z","timestamp":1709780609000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-17801-6_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031178009","9783031178016"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-17801-6_4","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"30 September 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BELIEF","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Belief Functions","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Paris","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"France","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 October 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 October 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"belief2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/hebergement.universite-paris-saclay.fr\/belief2022\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"31","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"29","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"94% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.68","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3.43","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}