Density-ratio based clustering for discovering clusters with varying densities Zhu, Ye, Ting, Kai Ming and Carman, Mark J. 2016, Density-ratio based clustering for discovering clusters with varying densities, Pattern recognition, vol. 60, pp. 983-997, doi: 10.1016/j.patcog.2016.07.007. Attached Files Name Description MIMEType Size Downloads Title Density-ratio based clustering for discovering clusters with varying densities Author(s) Zhu, Ye Ting, Kai Ming Carman, Mark J. Journal name Pattern recognition Volume number 60 Start page 983 End page 997 Total pages 15 Publisher Elsevier Place of publication Amsterdam, The Netherlands Publication date 2016-12 ISSN 0031-3203 Keyword(s) density-ratio varying densities density-based clustering scaling Language eng DOI 10.1016/j.patcog.2016.07.007 Field of Research 0899 Other Information And Computing Sciences 0906 Electrical And Electronic Engineering 0801 Artificial Intelligence And Image Processing Socio Economic Objective 0 Not Applicable HERDC Research category C1 Refereed article in a scholarly journal Copyright notice ©2016, Elsevier Persistent URL http://hdl.handle.net/10536/DRO/DU:30097542 Document type: Journal Article Collection: School of Information Technology Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Wed, 05 Jul 2017, 15:33:55 EST Thu, 06 Jul 2017, 05:00:42 EST Wed, 26 Jul 2017, 11:38:50 EST Wed, 26 Jul 2017, 11:49:38 EST Thu, 27 Jul 2017, 13:22:41 EST Fri, 08 Sep 2017, 06:04:26 EST Fri, 08 Sep 2017, 11:43:31 EST Sat, 28 Oct 2017, 01:33:04 EST Mon, 07 May 2018, 16:20:57 EST Filtered Full Citation counts:   Cited 6 times in TR Web of Science Cited 9 times in Scopus Search Google Scholar Access Statistics: 114 Abstract Views, 3 File Downloads  -  Detailed Statistics Created: Wed, 05 Jul 2017, 15:33:55 EST

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