{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T16:19:03Z","timestamp":1778602743885,"version":"3.51.4"},"reference-count":40,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/100014103","name":"Key Technology Research and Development Program of Shandong Province","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100014103","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61801386"],"award-info":[{"award-number":["61801386"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62171386"],"award-info":[{"award-number":["62171386"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U20B2067"],"award-info":[{"award-number":["U20B2067"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010031","name":"Postdoctoral Research Foundation of China","doi-asserted-by":"publisher","award":["2019M653743"],"award-info":[{"award-number":["2019M653743"]}],"id":[{"id":"10.13039\/501100010031","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010031","name":"Postdoctoral Research Foundation of China","doi-asserted-by":"publisher","award":["2020T130538"],"award-info":[{"award-number":["2020T130538"]}],"id":[{"id":"10.13039\/501100010031","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100015401","name":"Shaanxi Province Key Research and Development Projects","doi-asserted-by":"publisher","award":["2022GY-081"],"award-info":[{"award-number":["2022GY-081"]}],"id":[{"id":"10.13039\/501100015401","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Pattern Recognition"],"published-print":{"date-parts":[[2023,12]]},"DOI":"10.1016\/j.patcog.2023.109846","type":"journal-article","created":{"date-parts":[[2023,8,2]],"date-time":"2023-08-02T02:59:34Z","timestamp":1690945174000},"page":"109846","update-policy":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":13,"special_numbering":"C","title":["DTEC: Decision tree-based evidential clustering for interpretable partition of uncertain data"],"prefix":"10.1016","volume":"144","author":[{"ORCID":"https:\/\/2.zoppoz.workers.dev:443\/https\/orcid.org\/0000-0002-9435-9668","authenticated-orcid":false,"given":"Lianmeng","family":"Jiao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haoyu","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Feng","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhun-ga","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Quan","family":"Pan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1016\/j.patcog.2023.109846_b1","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2023.109340","article-title":"Robust image clustering via context-aware contrastive graph learning","volume":"138","author":"Fang","year":"2023","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.patcog.2023.109846_b2","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2020.107784","article-title":"Type-reduced vague possibilistic fuzzy clustering for medical images","volume":"112","author":"Bose","year":"2021","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.patcog.2023.109846_b3","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1016\/j.ins.2021.07.003","article-title":"Graph regularized residual subspace clustering network for hyperspectral image clustering","volume":"578","author":"Cai","year":"2021","journal-title":"Inform. Sci."},{"key":"10.1016\/j.patcog.2023.109846_b4","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2019.107126","article-title":"Clustering social audiences in business information networks","volume":"100","author":"Zheng","year":"2020","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.patcog.2023.109846_b5","series-title":"Pattern Recognition with Fuzzy Objective Function Algorithm","author":"Bezdek","year":"1981"},{"key":"10.1016\/j.patcog.2023.109846_b6","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2021.107769","article-title":"A new robust fuzzy c-means clustering method based on adaptive elastic distance","volume":"237","author":"Gao","year":"2022","journal-title":"Knowl.-Based Syst."},{"key":"10.1016\/j.patcog.2023.109846_b7","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2023.109348","article-title":"Sparse possibilistic c-means clustering with lasso","volume":"138","author":"Yang","year":"2023","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.patcog.2023.109846_b8","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1016\/j.patrec.2014.11.003","article-title":"Is there any need for rough clustering?","volume":"53","author":"Peters","year":"2015","journal-title":"Pattern Recognit. Lett."},{"key":"10.1016\/j.patcog.2023.109846_b9","series-title":"A Mathematical Theory of Evidence","author":"Shafer","year":"1976"},{"key":"10.1016\/j.patcog.2023.109846_b10","series-title":"International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making","first-page":"24","article-title":"Evidential clustering: A review","author":"Den\u0153ux","year":"2016"},{"issue":"2","key":"10.1016\/j.patcog.2023.109846_b11","doi-asserted-by":"crossref","first-page":"395","DOI":"10.1109\/TFUZZ.2013.2259496","article-title":"Making use of partial knowledge about hidden states in HMMs: An approach based on belief functions","volume":"22","author":"Ramasso","year":"2014","journal-title":"IEEE Trans. Fuzzy Syst."},{"issue":"2","key":"10.1016\/j.patcog.2023.109846_b12","doi-asserted-by":"crossref","first-page":"755","DOI":"10.1109\/TIP.2018.2872908","article-title":"Joint tumor segmentation in PET-CT images using co-clustering and fusion based on belief functions","volume":"28","author":"Lian","year":"2018","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.patcog.2023.109846_b13","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1016\/j.ijar.2017.09.008","article-title":"SELP: Semi-supervised evidential label propagation algorithm for graph data clustering","volume":"92","author":"Zhou","year":"2018","journal-title":"Int. J. Approx. Reason."},{"issue":"4","key":"10.1016\/j.patcog.2023.109846_b14","doi-asserted-by":"crossref","first-page":"1384","DOI":"10.1016\/j.patcog.2007.08.014","article-title":"ECM: An evidential version of the fuzzy c-means algorithm","volume":"41","author":"Masson","year":"2008","journal-title":"Pattern Recognit."},{"issue":"4","key":"10.1016\/j.patcog.2023.109846_b15","doi-asserted-by":"crossref","first-page":"894","DOI":"10.1016\/j.csda.2010.09.021","article-title":"CECM: Constrained evidential c-means algorithm","volume":"56","author":"Antoine","year":"2012","journal-title":"Comput. Statist. Data Anal."},{"key":"10.1016\/j.patcog.2023.109846_b16","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1016\/j.patcog.2016.05.005","article-title":"ECMdd: Evidential c-medoids clustering with multiple prototypes","volume":"60","author":"Zhou","year":"2016","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.patcog.2023.109846_b17","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1016\/j.knosys.2014.11.013","article-title":"Credal c-means clustering method based on belief functions","volume":"74","author":"Liu","year":"2015","journal-title":"Knowl.-Based Syst."},{"key":"10.1016\/j.patcog.2023.109846_b18","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2020.107751","article-title":"An evidential clustering algorithm by finding belief-peaks and disjoint neighborhoods","volume":"113","author":"Gong","year":"2021","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.patcog.2023.109846_b19","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1016\/j.knosys.2015.08.007","article-title":"EK-NNclus: A clustering procedure based on the evidential k-nearest neighbor rule","volume":"88","author":"Den\u0153ux","year":"2015","journal-title":"Knowl.-Based Syst."},{"key":"10.1016\/j.patcog.2023.109846_b20","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2022.109619","article-title":"EGMM: An evidential version of the Gaussian mixture model for clustering","volume":"129","author":"Jiao","year":"2022","journal-title":"Appl. Soft. Comput."},{"key":"10.1016\/j.patcog.2023.109846_b21","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2022.109937","article-title":"TECM: Transfer learning-based evidential c-means clustering","volume":"257","author":"Jiao","year":"2022","journal-title":"Knowl.-Based Syst."},{"issue":"1","key":"10.1016\/j.patcog.2023.109846_b22","doi-asserted-by":"crossref","first-page":"92","DOI":"10.1016\/j.ijar.2010.04.007","article-title":"Ensemble clustering in the belief functions framework","volume":"52","author":"Masson","year":"2011","journal-title":"Int. J. Approx. Reason."},{"issue":"1","key":"10.1016\/j.patcog.2023.109846_b23","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1109\/TSMCB.2002.806496","article-title":"EVCLUS: Evidential clustering of proximity data","volume":"34","author":"Den\u0153ux","year":"2004","journal-title":"IEEE Trans. Syst. Man Cybern. Part B-Cybern."},{"issue":"7","key":"10.1016\/j.patcog.2023.109846_b24","doi-asserted-by":"crossref","first-page":"1321","DOI":"10.1007\/s00500-013-1146-z","article-title":"CEVCLUS: Evidential clustering with instance-level constraints for relational data","volume":"18","author":"Antoine","year":"2014","journal-title":"Soft Comput."},{"key":"10.1016\/j.patcog.2023.109846_b25","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1016\/j.knosys.2017.11.023","article-title":"k-CEVCLUS: Constrained evidential clustering of large dissimilarity data","volume":"142","author":"Li","year":"2018","journal-title":"Knowl.-Based Syst."},{"key":"10.1016\/j.patcog.2023.109846_b26","doi-asserted-by":"crossref","first-page":"297","DOI":"10.1016\/j.ins.2021.05.011","article-title":"NN-EVCLUS: Neural network-based evidential clustering","volume":"572","author":"Den\u0153ux","year":"2021","journal-title":"Inform. Sci."},{"issue":"1","key":"10.1016\/j.patcog.2023.109846_b27","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/2594473.2594475","article-title":"Comprehensible classification models: A position paper","volume":"15","author":"Freitas","year":"2014","journal-title":"ACM SIGKDD Explor. Newsl."},{"issue":"4","key":"10.1016\/j.patcog.2023.109846_b28","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1007\/s10462-011-9272-4","article-title":"Decision trees: A recent overview","volume":"39","author":"Kotsiantis","year":"2013","journal-title":"Artif. Intell. Rev."},{"key":"10.1016\/j.patcog.2023.109846_b29","series-title":"Proceedings of the 40th Chinese Control Conference","first-page":"7384","article-title":"A survey on interpretable clustering","author":"Yang","year":"2021"},{"key":"10.1016\/j.patcog.2023.109846_b30","doi-asserted-by":"crossref","unstructured":"L. De Raedt, H. Blockeel, Using logical decision trees for clustering, in: Proceedings of the 7th International Conference on Inductive Logic Programming, 1997, pp. 133\u2013140.","DOI":"10.1007\/3540635149_41"},{"issue":"1","key":"10.1016\/j.patcog.2023.109846_b31","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1007\/s10994-020-05896-2","article-title":"Interpretable clustering: An optimization approach","volume":"110","author":"Bertsimas","year":"2021","journal-title":"Mach. Learn."},{"key":"10.1016\/j.patcog.2023.109846_b32","doi-asserted-by":"crossref","first-page":"540","DOI":"10.1016\/j.ins.2022.08.077","article-title":"Interpretable fuzzy clustering using unsupervised fuzzy decision trees","volume":"611","author":"Jiao","year":"2022","journal-title":"Inform. Sci."},{"issue":"2","key":"10.1016\/j.patcog.2023.109846_b33","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1007\/s11634-013-0129-3","article-title":"Interpretable clustering using unsupervised binary trees","volume":"7","author":"Fraiman","year":"2013","journal-title":"Adv. Data Anal. Classif."},{"key":"10.1016\/j.patcog.2023.109846_b34","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1016\/j.patcog.2017.01.031","article-title":"Clustering nominal data using unsupervised binary decision trees: Comparisons with the state of the art methods","volume":"67","author":"Ghattas","year":"2017","journal-title":"Pattern Recognit."},{"issue":"1","key":"10.1016\/j.patcog.2023.109846_b35","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1109\/TKDE.2005.11","article-title":"Interpretable hierarchical clustering by constructing an unsupervised decision tree","volume":"17","author":"Basak","year":"2005","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"10.1016\/j.patcog.2023.109846_b36","doi-asserted-by":"crossref","first-page":"8577","DOI":"10.1073\/pnas.0601602103","article-title":"Modularity and community structure in networks","volume":"103","author":"Newman","year":"2006","journal-title":"Proc. Natl. Acad. Sci."},{"key":"10.1016\/j.patcog.2023.109846_b37","series-title":"Introduction to Data Mining","author":"Tan","year":"2019"},{"key":"10.1016\/j.patcog.2023.109846_b38","doi-asserted-by":"crossref","unstructured":"M. Ailem, F. Role, M. Nadif, Co-clustering document-term matrices by direct maximization of graph modularity, in: Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015, pp. 1807\u20131810.","DOI":"10.1145\/2806416.2806639"},{"key":"10.1016\/j.patcog.2023.109846_b39","series-title":"Introduction to information retrieval","author":"Sch\u00fctze","year":"2008"},{"key":"10.1016\/j.patcog.2023.109846_b40","first-page":"1","article-title":"Statistical comparisons of classifiers over multiple data sets","volume":"7","author":"De\u0161mar","year":"2006","journal-title":"J. Mach. Learn. Res."}],"container-title":["Pattern Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/api.elsevier.com\/content\/article\/PII:S0031320323005447?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/api.elsevier.com\/content\/article\/PII:S0031320323005447?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,9,21]],"date-time":"2025-09-21T17:12:38Z","timestamp":1758474758000},"score":1,"resource":{"primary":{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/linkinghub.elsevier.com\/retrieve\/pii\/S0031320323005447"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12]]},"references-count":40,"alternative-id":["S0031320323005447"],"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1016\/j.patcog.2023.109846","relation":{},"ISSN":["0031-3203"],"issn-type":[{"value":"0031-3203","type":"print"}],"subject":[],"published":{"date-parts":[[2023,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"DTEC: Decision tree-based evidential clustering for interpretable partition of uncertain data","name":"articletitle","label":"Article Title"},{"value":"Pattern Recognition","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1016\/j.patcog.2023.109846","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2023 Elsevier Ltd. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"109846"}}