{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,16]],"date-time":"2025-10-16T06:57:04Z","timestamp":1760597824609,"version":"3.37.3"},"reference-count":30,"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"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2018]]},"DOI":"10.1109\/access.2018.2857834","type":"journal-article","created":{"date-parts":[[2018,8,13]],"date-time":"2018-08-13T18:29:07Z","timestamp":1534184947000},"page":"44707-44717","source":"Crossref","is-referenced-by-count":18,"title":["Unique Neighborhood Set Parameter Independent Density-Based Clustering With Outlier Detection"],"prefix":"10.1109","volume":"6","author":[{"given":"Md Anisur","family":"Rahman","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2402-7529","authenticated-orcid":false,"given":"Kenneth Li-Minn","family":"Ang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8071-9044","authenticated-orcid":false,"given":"Kah Phooi","family":"Seng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"journal-title":"Introduction to Data Mining","year":"2005","author":"tan","key":"ref30"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2011.02.001"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2559803"},{"key":"ref12","first-page":"1","article-title":"An adaptive affinity propagation document clustering","author":"he","year":"2010","journal-title":"Proc 7th Int Conf Inform Syst"},{"key":"ref13","first-page":"1","article-title":"Variable density based clustering","author":"dockhorn","year":"2016","journal-title":"Proc IEEE Symp Ser Comput Intell"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2688477"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICIICII.2016.0038"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1126\/science.1242072"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.jesp.2013.03.013"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2009.2019722"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/1014052.1014118"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1080\/02664763.2014.1001326"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/276305.276314"},{"key":"ref27","first-page":"92","article-title":"Automatic clustering using a genetic algorithm with new solution encoding and operators","author":"raposo","year":"2014","journal-title":"Proc 14th Int Conf Comput Sci Appl"},{"key":"ref3","first-page":"849","article-title":"On spectral clustering: Analysis and an algorithm","author":"ng","year":"2001","journal-title":"Advances in neural information processing systems"},{"key":"ref6","first-page":"226","article-title":"A density-based algorithm for discovering clusters in large spatial databases with noise","author":"ester","year":"1996","journal-title":"Proc Int'l Conf Knowledge Discovery and Data Mining"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1561\/2000000034"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1023\/B:MACH.0000033116.57574.95"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICISA.2012.6220961"},{"key":"ref7","first-page":"727","article-title":"X-means: Extending K-means with efficient estimation of the number of clusters","author":"pelleg","year":"2000","journal-title":"Proc 17th Int Conf Mach Learn"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/2.781637"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1186\/1471-2105-14-213","article-title":"PFClust: A novel parameter free clustering algorithm","volume":"14","author":"mavridis","year":"2013","journal-title":"BMC Bioinf"},{"key":"ref1","first-page":"1027","article-title":"K-means: The advantages of careful seeding","author":"arthur","year":"2007","journal-title":"Proc Symp Discrete Algorithms"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2017.2656909"},{"key":"ref22","first-page":"2153","article-title":"Iterative views agreement: An iterative low-rank based structured optimization method to multi-view spectral clustering","author":"wang","year":"2016","journal-title":"Proc 25th Int Conf Artif Intell"},{"journal-title":"Clustering by fast search and find of density peaks[J] Science","year":"2018","key":"ref21"},{"key":"ref24","first-page":"1","article-title":"Anomaly detection using self-organizing maps-based K-nearest neighbor algorithm","author":"tian","year":"2014","journal-title":"Proc Eur Conf Prognostics Health Manage Soc"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2457339"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCA.2007.909595"},{"key":"ref25","first-page":"1","article-title":"Rolling element bearing fault detection using density-based clustering","author":"tian","year":"2014","journal-title":"Proc IEEE Conf Prognostics Health Manage"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8274985\/08434383.pdf?arnumber=8434383","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T10:04:17Z","timestamp":1643191457000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8434383\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/access.2018.2857834","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2018]]}}}