{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,15]],"date-time":"2025-08-15T02:22:09Z","timestamp":1755224529823,"version":"3.43.0"},"reference-count":14,"publisher":"IEEE","license":[{"start":{"date-parts":[[2017,5,1]],"date-time":"2017-05-01T00:00:00Z","timestamp":1493596800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2017,5,1]],"date-time":"2017-05-01T00:00:00Z","timestamp":1493596800000},"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":[],"published-print":{"date-parts":[[2017,5]]},"DOI":"10.1109\/ijcnn.2017.7965841","type":"proceedings-article","created":{"date-parts":[[2017,7,10]],"date-time":"2017-07-10T17:41:30Z","timestamp":1499708490000},"page":"94-100","source":"Crossref","is-referenced-by-count":6,"title":["Efficient k-means++ with random projection"],"prefix":"10.1109","author":[{"given":"Jan Y. K.","family":"Chan","sequence":"first","affiliation":[{"name":"Faculty of Information Technology, Macau University of Science and Technology, Taipa, Macau"}]},{"given":"Alex Po","family":"Leung","sequence":"additional","affiliation":[{"name":"Faculty of Information Technology, Macau University of Science and Technology, Taipa, Macau"}]}],"member":"263","reference":[{"journal-title":"Random Projections for K-means Clustering","year":"2010","author":"boutsidis","key":"ref10"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2014.2375327"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/1015330.1015408"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.5120\/1789-2471"},{"key":"ref14","first-page":"186","article-title":"Random projection for high dimensional data clustering: A cluster ensemble approach","author":"fern","year":"2003","journal-title":"ICML"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.tcs.2012.02.028"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-32512-0_50"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.14778\/2180912.2180915"},{"key":"ref5","first-page":"7","author":"bhattacharya","year":"2014","journal-title":"A Tight Lower Bound Instance for k-means++ in Constant Dimension"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2012.06.007"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/502512.502546"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1090\/conm\/026\/737400","article-title":"Extensions of Lipschitz mappings into a Hilbert space","volume":"26","author":"johnson","year":"1984","journal-title":"Conference in Modern Analysis and Probability (New Haven Conn 1982)"},{"key":"ref1","first-page":"1027","article-title":"K-means++: The advantages of careful seeding","author":"arthur","year":"2007","journal-title":"Proceedings of the Eighteenth Annual ACM-SIAM Symposium on Discrete Algorithms"},{"journal-title":"Stochastic dimensionality reduction for k-means clustering","year":"2011","author":"boutsidis","key":"ref9"}],"event":{"name":"2017 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2017,5,14]]},"location":"Anchorage, AK, USA","end":{"date-parts":[[2017,5,19]]}},"container-title":["2017 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7958416\/7965814\/07965841.pdf?arnumber=7965841","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,12]],"date-time":"2025-08-12T17:53:08Z","timestamp":1755021188000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/7965841\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,5]]},"references-count":14,"URL":"https:\/\/doi.org\/10.1109\/ijcnn.2017.7965841","relation":{},"subject":[],"published":{"date-parts":[[2017,5]]}}}