Local contrast as an effective means to robust clustering against varying densities Chen, Bo, Ting, Kai Ming, Washio, Takashi and Zhu, Ye 2018, Local contrast as an effective means to robust clustering against varying densities, Machine learning, vol. 107, no. 8-10, pp. 1621-1645, doi: 10.1007/s10994-017-5693-x. Attached Files Name Description MIMEType Size Downloads Title Local contrast as an effective means to robust clustering against varying densities Author(s) Chen, Bo Ting, Kai Ming Washio, Takashi Zhu, Ye orcid.org/0000-0003-4776-4932 Journal name Machine learning Volume number 107 Issue number 8-10 Start page 1621 End page 1645 Total pages 25 Publisher Springer Place of publication New York, N.Y. Publication date 2018-09 ISSN 0885-6125 1573-0565 Language eng DOI 10.1007/s10994-017-5693-x Field of Research 0801 Artificial Intelligence And Image Processing 1702 Cognitive Science HERDC Research category C1 Refereed article in a scholarly journal ERA Research output type C Journal article Copyright notice ©2018, The Author(s) Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30107498 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Open Access Collection Related Links Link Description Link to full-text (open access)   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. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Tue, 10 Apr 2018, 17:04:29 EST Wed, 11 Apr 2018, 05:01:38 EST Wed, 11 Apr 2018, 06:04:54 EST Thu, 19 Apr 2018, 15:30:48 EST Thu, 19 Apr 2018, 15:43:23 EST Mon, 23 Jul 2018, 11:34:32 EST Sat, 01 Sep 2018, 02:30:19 EST Fri, 26 Oct 2018, 13:59:42 EST Fri, 26 Oct 2018, 14:04:28 EST Wed, 13 Nov 2019, 16:40:09 EST Fri, 26 Feb 2021, 22:35:50 EST Filtered Full Citation counts:   Cited 2 times in TR Web of Science Cited 5 times in Scopus Search Google Scholar Access Statistics: 275 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Tue, 10 Apr 2018, 17:04:29 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.