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Spatio-temporal clustering benchmark for collective animal ..:
, In:
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Animal Movement Ecology and Human Mobility
,
Cakmak, Eren
;
Plank, Manuel
;
Calovi, Daniel S.
.. - p. 5-8 , 2021
Link:
https://dl.acm.org/doi/10.1145/3486637.3489487
RT T1 <cTitle>Proceedings of the 1st ACM SIGSPATIAL International Workshop on Animal Movement Ecology and Human Mobility</cTitle>: T1 <Title>Spatio-temporal clustering benchmark for collective animal behavior</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3489487&Exemplar=1&LAN=DE A1 Cakmak, Eren A1 Plank, Manuel A1 Calovi, Daniel S. A1 Jordan, Alex A1 Keim, Daniel PB ACM YR 2021 K1 benchmark K1 collective animal behavior K1 moving clusters K1 spatio-temporal clustering K1 trajectory clustering K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Unsupervised learning K1 Cluster analysis K1 Information systems K1 Information systems applications K1 Data mining K1 Clustering K1 General and reference K1 Cross-computing tools and techniques K1 Experimentation SP 5 OP 8 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3486637.3489487 DO https://dl.acm.org/doi/10.1145/3486637.3489487 SF ELIB - SuUB Bremen
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