{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,15]],"date-time":"2026-04-15T10:08:40Z","timestamp":1776247720875,"version":"3.50.1"},"reference-count":66,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2018,10,1]],"date-time":"2018-10-01T00:00:00Z","timestamp":1538352000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2018,10,1]],"date-time":"2018-10-01T00:00:00Z","timestamp":1538352000000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2018,10,1]],"date-time":"2018-10-01T00:00:00Z","timestamp":1538352000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2018,10,1]],"date-time":"2018-10-01T00:00:00Z","timestamp":1538352000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"NSF IIS","award":["1651902"],"award-info":[{"award-number":["1651902"]}]},{"name":"ONR Young Investigator Award","award":["N00014-14-1-0484"],"award-info":[{"award-number":["N00014-14-1-0484"]}]},{"DOI":"10.13039\/100000183","name":"U.S. Army Research Office","doi-asserted-by":"crossref","award":["W911NF-17-1-0367"],"award-info":[{"award-number":["W911NF-17-1-0367"]}],"id":[{"id":"10.13039\/100000183","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2018,10,1]]},"DOI":"10.1109\/tpami.2017.2763945","type":"journal-article","created":{"date-parts":[[2017,10,17]],"date-time":"2017-10-17T19:38:40Z","timestamp":1508269120000},"page":"2469-2483","source":"Crossref","is-referenced-by-count":44,"title":["Partition Level Constrained Clustering"],"prefix":"10.1109","volume":"40","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0821-8640","authenticated-orcid":false,"given":"Hongfu","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhiqiang","family":"Tao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yun","family":"Fu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972740.35"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2003.1250937"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2017.2650229"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2005.113"},{"key":"ref31","first-page":"583","article-title":"Cluster ensembles&#x2014;a knowledge reuse framework for combining partitions","volume":"3","author":"strehl","year":"2003","journal-title":"J Mach Learn Res"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-012-0291-9"},{"key":"ref37","first-page":"82","article-title":"Heterogeneous clustering ensemble method for combining different cluster results","author":"yoon","year":"2006","journal-title":"Proc Int Workshop Data Mining Biomed Appl"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.1138"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/1460797.1460800"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/2983323.2983745"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.120"},{"key":"ref62","first-page":"2083","article-title":"Salient object detection: A discriminative regional feature integration approach","author":"jiang","year":"2014","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.221"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.407"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390176"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.153"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972795.4"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995530"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247745"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206852"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2009.09.011"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-007-0114-2"},{"key":"ref20","first-page":"465","article-title":"Computing gaussian mixture models with\n em using equivalence constraints","author":"shental","year":"2004","journal-title":"Proc Int Conf Adv Neural Inf Process Syst"},{"key":"ref22","first-page":"506","article-title":"Non-negative matrix factorization with constraints","author":"wu","year":"0","journal-title":"Proc 24th AAAI Conf Artif Intell"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3233\/IDA-130590"},{"key":"ref24","first-page":"866","article-title":"Constrained spectral\n clustering under a local proximity structure assumption","author":"xu","year":"2005","journal-title":"Proc Int Florida Artif Intell Res Soc Conf"},{"key":"ref23","first-page":"561","article-title":"Spectral learning","author":"kamvar","year":"2003","journal-title":"Proc Int Joint Conf Artif Intell"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/1148170.1148241"},{"key":"ref25","first-page":"1","article-title":"Constrained spectral clustering through affinity propagation","author":"lu","year":"2008","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5539868"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247719"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2014.2332399"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2487833"},{"key":"ref57","first-page":"837","article-title":"On multiple foreground cosegmentation","author":"kim","year":"2012","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-010-0415-x"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2009.5459261"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206652"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2006.91"},{"key":"ref52","first-page":"4285","article-title":"Image cosegmentation via saliency-guided constrained clustering\n with cosine similarity","author":"tao","year":"2017","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref10","article-title":"Clustering with instance-level constraints","author":"wagstaff","year":"2000","journal-title":"Proc 26th AAAI Conf Artif Intell"},{"key":"ref11","first-page":"577","article-title":"Constrained k-means clustering with\n background knowledge","author":"wagstaff","year":"2001","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2014.2316512"},{"key":"ref12","first-page":"1772","article-title":"Semi-crowdsourced clustering: Generalizing crowd labeling by robust distance metric learning","author":"yi","year":"2012","journal-title":"Proc Int Conf Adv Neural Inf Process Syst"},{"key":"ref13","first-page":"524","article-title":"A Bayesian hierarchical model for learning natural scene categories","author":"li","year":"2005","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972757.13"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-74958-5_67"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/1015330.1015360"},{"key":"ref17","article-title":"Semi-supervised clustering: Learning with limited user feedback","author":"basu","year":"2003"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783287"},{"key":"ref19","first-page":"877","article-title":"Clustering with partition level side information","author":"liu","year":"2015","journal-title":"Proc Int Conf Data Mining"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/347090.347176"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1201\/b15410"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/34.868688"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/1454008.1454048"},{"key":"ref8","first-page":"281","article-title":"Some methods for classification and analysis of multivariate\n observations","author":"macqueen","year":"1967","journal-title":"Proc Berkeley Symp Math Statist Probability"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1983.10478008"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2013.2260166"},{"key":"ref9","first-page":"226","article-title":"A density-based algorithm for discovering\n clusters in large spatial databases with noise","author":"ester","year":"1996","journal-title":"Proc Int Conf Knowl Discovery Data Mining"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010924920739"},{"key":"ref45","first-page":"1","article-title":"Infinite ensemble clustering","author":"liu","year":"2017","journal-title":"Data Mining Knowl Discovery"},{"key":"ref48","author":"duda","year":"2000","journal-title":"Pattern Classification"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2003.1238361"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611974010.86"},{"key":"ref41","first-page":"1799","article-title":"A theoretic framework of k-means-based consensus\n clustering","author":"wu","year":"2013","journal-title":"Proc Int Joint Conf Artif Intell"},{"key":"ref44","first-page":"367","article-title":"Spectral ensemble clustering","author":"liu","year":"2016","journal-title":"Proc ACM SIGKDD Int Conf Knowl Discovery Data Mining"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btx167"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielaam\/34\/8454009\/8070337-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/34\/8454009\/08070337.pdf?arnumber=8070337","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,8]],"date-time":"2022-04-08T18:47:37Z","timestamp":1649443657000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8070337\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,10,1]]},"references-count":66,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2017.2763945","relation":{},"ISSN":["0162-8828","2160-9292","1939-3539"],"issn-type":[{"value":"0162-8828","type":"print"},{"value":"2160-9292","type":"electronic"},{"value":"1939-3539","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,10,1]]}}}