A comparative study of data-dependent approaches without learning in measuring similarities of data objects

Aryal, Sunil, Ting, Kai Ming, Washio, Takashi and Haffari, Gholamreza 2020, A comparative study of data-dependent approaches without learning in measuring similarities of data objects, Data mining and knowledge discovery, vol. 34, pp. 124-162, doi: 10.1007/s10618-019-00660-0.

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Title A comparative study of data-dependent approaches without learning in measuring similarities of data objects
Author(s) Aryal, SunilORCID iD for Aryal, Sunil orcid.org/0000-0002-6639-6824
Ting, Kai Ming
Washio, Takashi
Haffari, Gholamreza
Journal name Data mining and knowledge discovery
Volume number 34
Start page 124
End page 162
Total pages 39
Publisher Springer
Place of publication Cham, Switzerland
Publication date 2020
ISSN 1384-5810
1573-756X
Keyword(s) Science & Technology
Technology
Computer Science, Artificial Intelligence
Computer Science, Information Systems
Computer Science
Distance measures
l(p)-norm
Lin's probabilistic similarity
Rank transformation
Data-dependent similarity measures
m(p)-dissimilarity
FEATURES
Language eng
DOI 10.1007/s10618-019-00660-0
Indigenous content off
Field of Research 0801 Artificial Intelligence and Image Processing
0804 Data Format
0806 Information Systems
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30132051

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