{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,30]],"date-time":"2024-08-30T23:51:43Z","timestamp":1725061903098},"reference-count":64,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100000266","name":"EPSRC Manchester Centre for Doctoral Training in Computer Science","doi-asserted-by":"publisher","award":["EP\/I028099\/1"],"id":[{"id":"10.13039\/501100000266","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Evol. Computat."],"published-print":{"date-parts":[[2022,12]]},"DOI":"10.1109\/tevc.2021.3137369","type":"journal-article","created":{"date-parts":[[2021,12,21]],"date-time":"2021-12-21T21:06:07Z","timestamp":1640120767000},"page":"1206-1220","source":"Crossref","is-referenced-by-count":5,"title":["HAWKS: Evolving Challenging Benchmark Sets for Cluster Analysis"],"prefix":"10.1109","volume":"26","author":[{"ORCID":"http:\/\/orcid.org\/0000-0002-1299-890X","authenticated-orcid":false,"given":"Cameron","family":"Shand","sequence":"first","affiliation":[{"name":"Department of Computer Science, University College London, London, U.K."}]},{"ORCID":"http:\/\/orcid.org\/0000-0003-1236-3143","authenticated-orcid":false,"given":"Richard","family":"Allmendinger","sequence":"additional","affiliation":[{"name":"Alliance Manchester Business School, University of Manchester, Manchester, U.K."}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-4338-1806","authenticated-orcid":false,"given":"Julia","family":"Handl","sequence":"additional","affiliation":[{"name":"Decision and Cognitive Sciences Research Centre, University of Manchester, Manchester, U.K."}]},{"given":"Andrew","family":"Webb","sequence":"additional","affiliation":[{"name":"vTime, Liverpool, U.K."}]},{"given":"John","family":"Keane","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Manchester, Manchester, U.K."}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-04274-4_14"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2014.12.044"},{"key":"ref33","doi-asserted-by":"crossref","DOI":"10.1002\/9780470977811","author":"everitt","year":"2011","journal-title":"Cluster Analysis"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/6352.001.0001"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/2001576.2001690"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-19084-6_18"},{"key":"ref37","article-title":"Benchmarking in cluster analysis: A white paper","author":"mechelen","year":"2018","journal-title":"arXiv 1809 10496"},{"key":"ref36","first-page":"24","article-title":"Some thoughts on simulation studies to compare clustering methods","volume":"5","author":"hennig","year":"2018","journal-title":"Arch Data Sci A"},{"key":"ref35","first-page":"446","article-title":"An impossibility theorem for clustering","author":"kleinberg","year":"2003","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.12221"},{"key":"ref60","first-page":"1027","article-title":"K-means++: The advantages of careful seeding","author":"arthur","year":"2007","journal-title":"Proc 18th Annu ACM-SIAM Symp Discrete Algorithms SODA"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1974.10480191"},{"key":"ref61","first-page":"2825","article-title":"Scikit-learn: Machine learning in Python","volume":"12","author":"pedregosa","year":"2011","journal-title":"J Mach Learn Res"},{"key":"ref63","first-page":"1","article-title":"Statistical comparisons of classifiers over multiple data sets","volume":"7","author":"dem\u0161ar","year":"2006","journal-title":"J Mach Learn Res"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.orp.2016.09.002"},{"key":"ref64","article-title":"Distribution-free multiple comparisons","author":"nemenyi","year":"1963"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-05318-5"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3067695.3067696"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-16615-0"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/bti517"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/S0065-2458(08)60520-3"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2013.11.015"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/1456650.1456656"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2015.04.022"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2011.07.006"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-00483-4"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-017-5629-5"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/s11222-020-09958-2"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/0377-0427(87)90125-7"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2017.2726341"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2016.2549267"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/ICNN.1995.488968"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-011-0212-3"},{"key":"ref55","article-title":"Tractable measure of component overlap for Gaussian mixture models","author":"nowakowska","year":"2014","journal-title":"arXiv 1407 7172"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/4235.873238"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/BF01908075"},{"key":"ref52","first-page":"478","article-title":"Unsupervised deep embedding for clustering analysis","volume":"48","author":"xie","year":"2016","journal-title":"Proc 33rd Int Conf Mach Learn (ICML)"},{"key":"ref10","first-page":"341","author":"milligan","year":"1996","journal-title":"Clustering Validation Results and Implications for Applied Analyses"},{"key":"ref11","first-page":"65","article-title":"Clustering: Science or art?","volume":"27","author":"von luxburg","year":"2012","journal-title":"Proc Unsupervised Transf Learn Workshop ICML"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/BF02293907"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2012.07.021"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/BF02430364"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2005.1554990"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2012.6252992"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2013.08.059"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-15844-5_8"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2014.09.003"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1996.8.7.1341"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2015.11.016"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/RBME.2010.2083647"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1300\/J073v12n01_01"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1080\/10255840903131878"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2015.04.009"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-985X.2007.00471.x"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1198\/jcgs.2009.08054"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/331499.331504"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.csda.2004.09.009"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/s00357-006-0018-y"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1137\/0717034"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/3321707.3321761"},{"key":"ref42","author":"dheeru","year":"2017","journal-title":"UCI Machine Learning Repository"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0210236"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.5019\/j.ijcir.2006.64"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-018-1238-7"}],"container-title":["IEEE Transactions on Evolutionary Computation"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4235\/9967387\/09657070.pdf?arnumber=9657070","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,19]],"date-time":"2022-12-19T19:43:41Z","timestamp":1671479021000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9657070\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12]]},"references-count":64,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tevc.2021.3137369","relation":{},"ISSN":["1089-778X","1089-778X","1941-0026"],"issn-type":[{"value":"1089-778X","type":"print"},{"value":"1089-778X","type":"print"},{"value":"1941-0026","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,12]]}}}