A distance scaling method to improve density-based clustering

Zhu, Ye, Ting, Kai Ming and Angelova, Maia 2018, A distance scaling method to improve density-based clustering, in PAKDD 2018 : Advances in Knowledge Discovery and Data Mining : Proceedings of 22nd Pacific-Asia Conference, Springer, Cham, Switzerland, pp. 389-400, doi: 10.1007/978-3-319-93040-4_31.

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Title A distance scaling method to improve density-based clustering
Author(s) Zhu, Ye
Ting, Kai Ming
Angelova, MaiaORCID iD for Angelova, Maia orcid.org/0000-0002-0931-0916
Conference name Knowledge Discovery and Data Mining. Pacific-Asia Conference (22nd : 2018 : Melbourne, Victoria)
Conference location Melbourne, Victoria
Conference dates 2018/06/03 - 2018/06/06
Title of proceedings PAKDD 2018 : Advances in Knowledge Discovery and Data Mining : Proceedings of 22nd Pacific-Asia Conference
Editor(s) Phung, D
Tseng, V
Webb, G
Ho, B
Ganji, M
Rashidi, LR
Publication date 2018
Series Lecture Notes in Computer Science
Start page 389
End page 400
Total pages 12
Publisher Springer
Place of publication Cham, Switzerland
ISBN 9783319930398
ISSN 0302-9743
1611-3349
Language eng
DOI 10.1007/978-3-319-93040-4_31
Field of Research 08 Information And Computing Sciences
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Persistent URL http://hdl.handle.net/10536/DRO/DU:30112479

Document type: Conference Paper
Collection: School of Information Technology
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