{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T14:25:18Z","timestamp":1730298318125,"version":"3.28.0"},"reference-count":34,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015,12]]},"DOI":"10.1109\/ssci.2015.81","type":"proceedings-article","created":{"date-parts":[[2016,1,11]],"date-time":"2016-01-11T21:41:53Z","timestamp":1452548513000},"page":"509-515","source":"Crossref","is-referenced-by-count":2,"title":["Distributed, MapReduce-Based Nearest Neighbor and E-Ball Kernel k-Means"],"prefix":"10.1109","author":[{"given":"Nikolaos","family":"Tsapanos","sequence":"first","affiliation":[]},{"given":"Anastasios","family":"Tefas","sequence":"additional","affiliation":[]},{"given":"Nikos","family":"Nikolaidis","sequence":"additional","affiliation":[]},{"given":"Ioannis","family":"Pitas","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.5244\/C.20.92"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.1987.4309069"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2002.1047453"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/2020408.2020558"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.450"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2004.09.006"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/1014052.1014118"},{"key":"ref12","first-page":"305","article-title":"Learning spectral clustering","volume":"16","author":"jordan","year":"2004","journal-title":"Advances in neural information processing systems"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s11222-007-9033-z"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33260-9_22"},{"key":"ref15","first-page":"1025","article-title":"Influence of graph construction on graph-based clustering measures","author":"maier","year":"2009","journal-title":"Advances in Neural Information Processing Systems 21"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1214\/11-EJS651"},{"key":"ref17","first-page":"849","article-title":"On spectral clustering: Analysis and an algorithm","volume":"2","author":"ng","year":"2002","journal-title":"Advances in neural information processing systems"},{"key":"ref18","first-page":"1601","article-title":"Self-tuning spectral clustering","author":"zelnik-manor","year":"2004","journal-title":"Advances in neural information processing systems"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1176346577"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/1327452.1327492"},{"key":"ref4","first-page":"821","article-title":"Theoretical foundations of the potential function method in pattern recognition learning","volume":"25","author":"aizerman","year":"1964","journal-title":"Automation and Remote Control"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.1115"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1162\/089976698300017467"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.137"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611973075.76"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2011.255"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2014.03.026"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2014.03.010"},{"key":"ref2","first-page":"281","article-title":"Some methods for classification and analysis of multivariate observations","author":"macqueen","year":"1967","journal-title":"Proceedings of 5th Berkeley Symposium on Mathematical Statistics and Probability"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2007.05.018"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/331499.331504"},{"key":"ref20","first-page":"2393","article-title":"Dip-means: an incremental clustering method for estimating the number of clusters","author":"kalogeratos","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/2020408.2020516"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/1951365.1951432"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/2020408.2020515"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICSMC.2012.6377972"},{"journal-title":"Hadoop The Definitive Guide","year":"2009","author":"white","key":"ref26"},{"key":"ref25","first-page":"10","article-title":"Spark: Cluster computing with working sets","author":"zaharia","year":"2010","journal-title":"The 2nd USENIX Conference on Hot Topics in Cloud Computing HotCloud'10"}],"event":{"name":"2015 IEEE Symposium Series on Computational Intelligence (SSCI)","start":{"date-parts":[[2015,12,7]]},"location":"Cape Town, South Africa","end":{"date-parts":[[2015,12,10]]}},"container-title":["2015 IEEE Symposium Series on Computational Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7371400\/7376572\/07376654.pdf?arnumber=7376654","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,3,24]],"date-time":"2017-03-24T23:42:22Z","timestamp":1490398942000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7376654\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,12]]},"references-count":34,"URL":"https:\/\/doi.org\/10.1109\/ssci.2015.81","relation":{},"subject":[],"published":{"date-parts":[[2015,12]]}}}