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1 Ergebnisse
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StreamKM++ : A clustering algorithm for data streams:
Ackermann, Marcel R.
;
Märtens, Marcus
;
Raupach, Christoph
...
Journal of Experimental Algorithmics (JEA). 17 (2012) 17 - p. 2.1-2.30 , 2012
Link:
https://dl.acm.org/doi/10.1145/2133803.2184450
RT Journal T1
StreamKM++ : A clustering algorithm for data streams
UL https://suche.suub.uni-bremen.de/peid=acm-2184450&Exemplar=1&LAN=DE A1 Ackermann, Marcel R. A1 Märtens, Marcus A1 Raupach, Christoph A1 Swierkot, Kamil A1 Lammersen, Christiane A1 Sohler, Christian PB ACM YR 2012 SN 1084-6654 SN 1084-6654 K1 k-means K1 Clustering K1 coresets K1 data stream K1 Theory of computation K1 Randomness, geometry and discrete structures K1 Computational geometry K1 Mathematics of computing K1 Probability and statistics K1 Probabilistic reasoning algorithms K1 Markov-chain Monte Carlo methods K1 Information systems K1 Information retrieval K1 Retrieval tasks and goals K1 Clustering and classification K1 Sequential Monte Carlo methods K1 Probabilistic algorithms K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Unsupervised learning K1 Cluster analysis K1 Information systems applications K1 Data mining K1 Clustering JF Journal of Experimental Algorithmics (JEA) VO 17 IS 17 SP 2.1 OP 2.30 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/2133803.2184450 DO https://dl.acm.org/doi/10.1145/2133803.2184450 SF ELIB - SuUB Bremen
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