{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,25]],"date-time":"2026-02-25T17:08:53Z","timestamp":1772039333253,"version":"3.50.1"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/OAPA.html"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["71571186"],"award-info":[{"award-number":["71571186"]}],"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":["71471176"],"award-info":[{"award-number":["71471176"]}],"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":["61703416"],"award-info":[{"award-number":["61703416"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Post-Doctoral Science Foundation","doi-asserted-by":"publisher","award":["2016M593018"],"award-info":[{"award-number":["2016M593018"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2018]]},"DOI":"10.1109\/access.2017.2780109","type":"journal-article","created":{"date-parts":[[2017,12,6]],"date-time":"2017-12-06T19:16:22Z","timestamp":1512587782000},"page":"1718-1729","source":"Crossref","is-referenced-by-count":43,"title":["From Partition-Based Clustering to Density-Based Clustering: Fast Find Clusters With Diverse Shapes and Densities in Spatial Databases"],"prefix":"10.1109","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5594-0153","authenticated-orcid":false,"given":"Jiang","family":"Wang","sequence":"first","affiliation":[]},{"given":"Cheng","family":"Zhu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7328-0275","authenticated-orcid":false,"given":"Yun","family":"Zhou","sequence":"additional","affiliation":[]},{"given":"Xianqiang","family":"Zhu","sequence":"additional","affiliation":[]},{"given":"Yilin","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Weiming","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/17.9.763"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/2820783.2820813"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/1217299.1217303"},{"key":"ref32","article-title":"CLUTO: A clustering toolkit (release 2.1.1)","author":"karypis","year":"2003"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2105-8-3"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/34.400568"},{"key":"ref37","article-title":"A synthetic data generator for clustering and outlier analysis","author":"pei","year":"2006"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2011.02.001"},{"key":"ref35","first-page":"1","article-title":"Data clustering: A user’s dilemma","author":"jain","year":"2005","journal-title":"Proc IEEE Int Conf Pattern Recognit Mach Intell"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2007.04.010"},{"key":"ref10","first-page":"226","article-title":"A density-based algorithm for discovering clusters in large spatial databases with noise","volume":"96","author":"ester","year":"1996","journal-title":"SIGKDD"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/2522968.2522981"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2009.09.011"},{"key":"ref12","first-page":"68","author":"kaufman","year":"1990","journal-title":"Partitioning Around Medoids (Program PAM) in Finding Groups in Data An Introduction to Cluster Analysis"},{"key":"ref13","volume":"344","author":"kaufman","year":"2009","journal-title":"Finding Groups in Data An Introduction to Cluster Analysis"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2002.1033770"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1126\/science.1136800"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s40745-015-0040-1"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/2723372.2737792"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/304181.304187"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.datak.2006.01.013"},{"key":"ref28","doi-asserted-by":"crossref","first-page":"1492","DOI":"10.1126\/science.1242072","article-title":"Clustering by fast search and find of density peaks","volume":"344","author":"rodriguez","year":"2014","journal-title":"Science"},{"key":"ref4","first-page":"225","article-title":"Criminals and crime hotspot detection using data mining algorithms: Clustering and classification","volume":"1","author":"sukanya","year":"2012","journal-title":"Int J Adv Res Comput Eng Technol"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1002\/widm.53"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s11434-014-0499-8"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/2629592"},{"key":"ref29","article-title":"Dynamic local search algorithm for the clustering problem","author":"k\u00e4rkk\u00e4inen","year":"2002"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.datak.2013.05.002"},{"key":"ref8","first-page":"428","article-title":"Wavecluster: A multi-resolution clustering approach for very large spatial databases","volume":"98","author":"sheikholeslami","year":"1998","journal-title":"Proc VLDB"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/1247480.1247546"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.4324\/9780203468029"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2005.845141"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-60159-7_4"},{"key":"ref20","first-page":"58","article-title":"An efficient approach to clustering in large multimedia databases with noise","volume":"98","author":"hinneburg","year":"1998","journal-title":"Proc SIGKDD"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/276305.276314"},{"key":"ref21","first-page":"186","article-title":"STING: A statistical information grid approach to spatial data mining","volume":"97","author":"wang","year":"1997","journal-title":"Proc VLDB"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781139924801"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/276305.276312"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1128\/AEM.00342-13"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1145\/235968.233324","article-title":"BIRCH: An efficient data clustering method for very large databases","volume":"25","author":"zhang","year":"1996","journal-title":"ACM SIGMOD Rec"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/2.781637"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2011.221"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/S0306-4379(00)00022-3"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8274985\/08166726.pdf?arnumber=8166726","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,10,11]],"date-time":"2021-10-11T03:00:18Z","timestamp":1633921218000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8166726\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"references-count":43,"URL":"https:\/\/doi.org\/10.1109\/access.2017.2780109","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]}}}