Overcoming key weaknesses of distance-based neighbourhood methods using a data dependent dissimilarity measure

Ting, Kai Ming, Zhu, Ye, Carman, Mark, Zhu, Ye and Zhou, Zhi-Hua 2016, Overcoming key weaknesses of distance-based neighbourhood methods using a data dependent dissimilarity measure, in KDD 2016 : Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ACM, [San Francisco, Calif.], pp. 1205-1214, doi: 10.1145/2939672.2939779.

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Title Overcoming key weaknesses of distance-based neighbourhood methods using a data dependent dissimilarity measure
Author(s) Ting, Kai Ming
Zhu, Ye
Carman, Mark
Zhu, Ye
Zhou, Zhi-Hua
Conference name Knowledge Discovery and Data Mining. Conference (2016 : 22nd : San Francisco, California)
Conference location San Francisco, California
Conference dates 2016/08/13 - 2016/08/17
Title of proceedings KDD 2016 : Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Publication date 2016
Start page 1205
End page 1214
Total pages 10
Publisher ACM
Place of publication [San Francisco, Calif.]
Keyword(s) Data dependent dissimilarity
distance measure
distance-based neighbourhood
probability-mass-based neighbourhood
k nearest neighbours
ISBN 9781450342322
Language eng
DOI 10.1145/2939672.2939779
HERDC Research category E1.1 Full written paper - refereed
ERA Research output type E Conference publication
Persistent URL http://hdl.handle.net/10536/DRO/DU:30097544

Document type: Conference Paper
Collection: School of Information Technology
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