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Nearest-neighbour-induced isolation similarity and its impact on density-based clustering

Qin, Xiaoyu, Ting, Kai Ming, Zhu, Ye and Lee, Vincent C.S. 2019, Nearest-neighbour-induced isolation similarity and its impact on density-based clustering, in Proceedings of the Combined Conferences : 33rd AAAI Conference on Artificial Intelligence / 31st Innovative Applications of Artificial Intelligence Conference / 9th AAAI Symposium on Educational Advances in Artificial Intelligence, AAAI Press, [Honolulu, Hawaii], pp. 4755-4762, doi: 10.1609/aaai.v33i01.33014755.

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Title Nearest-neighbour-induced isolation similarity and its impact on density-based clustering
Author(s) Qin, Xiaoyu
Ting, Kai Ming
Zhu, YeORCID iD for Zhu, Ye orcid.org/0000-0003-4776-4932
Lee, Vincent C.S.
Conference name AAAI Conference on Artificial Intelligence., Innovative Applications of Artificial Intelligence Conference and AAAI Symposium on Educational Advances in Artificial Intelligence. Combined Conference (2019 : 33rd, 31st & 9th : Honolulu, Hawaii)
Conference location Honolulu, Hawaii
Conference dates 2019/01/27 - 2019/02/01
Title of proceedings Proceedings of the Combined Conferences : 33rd AAAI Conference on Artificial Intelligence / 31st Innovative Applications of Artificial Intelligence Conference / 9th AAAI Symposium on Educational Advances in Artificial Intelligence
Publication date 2019
Start page 4755
End page 4762
Total pages 8
Publisher AAAI Press
Place of publication [Honolulu, Hawaii]
Keyword(s) Science & Technology
Technology
Computer Science, Artificial Intelligence
Computer Science, Theory & Methods
Engineering, Electrical & Electronic
Computer Science
Engineering
ISBN 9781577358091
ISSN 2374-3468
Language eng
DOI 10.1609/aaai.v33i01.33014755
Indigenous content off
HERDC Research category E1 Full written paper - refereed
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30130581

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Created: Thu, 10 Oct 2019, 11:26:06 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.