{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,7]],"date-time":"2026-02-07T22:17:48Z","timestamp":1770502668211,"version":"3.49.0"},"reference-count":62,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2021,3,1]],"date-time":"2021-03-01T00:00:00Z","timestamp":1614556800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,3,1]],"date-time":"2021-03-01T00:00:00Z","timestamp":1614556800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,3,1]],"date-time":"2021-03-01T00:00:00Z","timestamp":1614556800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Big Data"],"published-print":{"date-parts":[[2021,3,1]]},"DOI":"10.1109\/tbdata.2019.2907985","type":"journal-article","created":{"date-parts":[[2019,3,29]],"date-time":"2019-03-29T18:48:13Z","timestamp":1553885293000},"page":"158-168","source":"Crossref","is-referenced-by-count":7,"title":["Fast Communication-Efficient Spectral Clustering over Distributed Data"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5131-1509","authenticated-orcid":false,"given":"Donghui","family":"Yan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9475-2630","authenticated-orcid":false,"given":"Yingjie","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0327-0084","authenticated-orcid":false,"given":"Jin","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guodong","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Honggang","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","article-title":"Parallel spectral clustering algorithm for large-scale community data mining","author":"miao","year":"2008","journal-title":"Proc Int World Wide Web Conf"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1002\/0471721182"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-00528-2_1"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1111\/rssb.12050"},{"key":"ref31","first-page":"705","article-title":"Spectral clustering with perturbed data","volume":"21","author":"huang","year":"2009","journal-title":"Proc 21st Int Conf Neural Inf Process Syst"},{"key":"ref30","article-title":"The strong law of large numbers for U-statistics","author":"hoeffding","year":"1961"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1982.1056489"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1155\/2017\/2658707"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/YAC.2017.7967594"},{"key":"ref34","article-title":"UC Irvine machine learning repository","author":"lichman","year":"2013"},{"key":"ref60","first-page":"2","article-title":"Resilient distributed datasets: A fault-tolerant abstraction for in-memory cluster computing","author":"zaharia","year":"2012","journal-title":"Proc 9th USENIX Conf Netw Syst Des Implementation"},{"key":"ref62","first-page":"7:1","article-title":"Sampling for Nyström extension-based spectral clustering: Incremental perspective and novel analysis","volume":"11","author":"zhang","year":"2016","journal-title":"ACM Trans Knowl Discovery Data"},{"key":"ref61","first-page":"10","article-title":"Spark: Cluster computing with working sets","author":"zaharia","year":"2010","journal-title":"Proc 2nd USENIX Conf Hot Top cloud Comput"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.2307\/2346830"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/18.720541"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/2287076.2287111"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/253260.253322"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2018.2805687"},{"key":"ref20","first-page":"79","article-title":"A survey on geographically distributed big-data processing using MapReduce","volume":"3","author":"dolev","year":"2017","journal-title":"IEEE Trans Big Data"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2004.1262185"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1176344552"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/945449.945450"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/268998.266662"},{"key":"ref26","author":"golub","year":"1989","journal-title":"Matrix Computations"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1214\/074921706000000888"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1214\/009053607000000640"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972757.25"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1982.1056490"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2018.8622307"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1214\/12-AOAS543"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.4310\/SII.2019.v12.n2.a9"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1145\/1557019.1557118"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.4236\/ojs.2018.84045"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/j.csda.2013.04.010"},{"key":"ref52","first-page":"521","article-title":"Distance metric learning, with application to clustering with side-information","author":"xing","year":"2002","journal-title":"Proc Neural Inf Process Syst"},{"key":"ref10","first-page":"1743","article-title":"A case study of applying spectral clustering technique in the value analysis of an outfitter's customer database","author":"chang","year":"2007","journal-title":"Proc IEEE Int Conf Ind Eng Eng Manage"},{"key":"ref11","first-page":"205","article-title":"Bigtable: A distributed storage system for structured data","author":"chang","year":"2006","journal-title":"Proc 7th Symp Operating Syst Des Implementation"},{"key":"ref40","first-page":"849","article-title":"On spectral clustering: Analysis and an algorithm","volume":"14","author":"ng","year":"2001","journal-title":"Proc 14th Int Conf Neural Inf Process Syst"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s11036-013-0489-0"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.88"},{"key":"ref14","first-page":"313","article-title":"Large scale spectral clustering with landmark-based representation","author":"chen","year":"2011","journal-title":"Proc 25th AAAI Conf Artif Intell"},{"key":"ref15","first-page":"1655","article-title":"A split-and-conquer approach for analysis of extraordinarily large data","volume":"24","author":"chen","year":"2014","journal-title":"Statistica Sinica"},{"key":"ref16","article-title":"Spectral graph theory","author":"chung","year":"1997","journal-title":"Proc CBMS Regional Conf Series Math"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/SFFCS.1999.814639"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/1374376.1374452"},{"key":"ref19","first-page":"137","article-title":"MapReduce: Simplified data processing on large clusters","author":"dean","year":"2004","journal-title":"Proc 6th Symp Operating Syst Des Implementation"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/509943.509947"},{"key":"ref3","first-page":"1963","article-title":"Learning spectral clustering, with application to speech separation","volume":"7","author":"bach","year":"2006","journal-title":"J Mach Learn Res"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1214\/17-AOS1587"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-59876-5_42"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2007.4399611"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/361002.361007"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/s11222-007-9033-z"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/1027527.1027747"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/0956-0521(91)90014-V"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/MSST.2010.5496972"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/SFCS.1996.548468"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2016.2646700"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2017.7966107"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2005.I.035"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/34.868688"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1176345339"}],"container-title":["IEEE Transactions on Big Data"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6687317\/9366322\/08676337.pdf?arnumber=8676337","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:54:07Z","timestamp":1652194447000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8676337\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,3,1]]},"references-count":62,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tbdata.2019.2907985","relation":{},"ISSN":["2332-7790","2372-2096"],"issn-type":[{"value":"2332-7790","type":"electronic"},{"value":"2372-2096","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,3,1]]}}}