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A streaming clustering approach using a heterogeneous syste..:
, In:
Proceedings of the 36th International Conference on Computer-Aided Design
,
Lee, Dajung
;
Althoff, Alric
;
Richmond, Dustin
. - p. 699-706 , 2017
Link:
https://dl.acm.org/doi/10.5555/3199700.3199793
RT T1 <cTitle>Proceedings of the 36th International Conference on Computer-Aided Design</cTitle>: T1 <Title>A streaming clustering approach using a heterogeneous system for big data analysis</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3199793&Exemplar=1&LAN=DE A1 Lee, Dajung A1 Althoff, Alric A1 Richmond, Dustin A1 Kastner, Ryan PB IEEE Press YR 2017 K1 FPGA K1 hardware acceleration K1 hardware-software codesign K1 online clustering K1 streaming architecture K1 vector quantization K1 Information systems K1 Information systems applications K1 Data mining K1 Clustering K1 Information retrieval K1 Retrieval tasks and goals K1 Clustering and classification K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Unsupervised learning K1 Cluster analysis SP 699 OP 706 LK http://dx.doi.org/https://dl.acm.org/doi/10.5555/3199700.3199793 DO https://dl.acm.org/doi/10.5555/3199700.3199793 SF ELIB - SuUB Bremen
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