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Information theoretic measures for clusterings comparison ..:

, In: Proceedings of the 26th Annual International Conference on Machine Learning,

Vinh, Nguyen Xuan ; Epps, Julien ; Bailey, James - p. 1073-1080 , 2009

Link: https://dl.acm.org/doi/10.1145/1553374.1553511

RT 
T1 <cTitle>Proceedings of the 26th Annual International Conference on Machine Learning</cTitle>: T1 <Title>Information theoretic measures for clusterings comparison				: is a correction for chance necessary?</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-1553511&Exemplar=1&LAN=DE
				
A1 Vinh, Nguyen Xuan
A1 Epps, Julien
A1 Bailey, James
PB ACM
YR 2009
K1 Computing methodologies
K1 Machine learning
K1 Learning paradigms
K1 Unsupervised learning
K1 Cluster analysis
K1 Modeling and simulation
K1 Model development and analysis
K1 Model verification and validation
K1 Theory of computation
K1 Randomness, geometry and discrete structures
K1 Computational geometry
K1 Supervised learning
K1 Supervised learning by classification
K1 Mathematics of computing
K1 Information theory
K1 Modeling methodologies
K1 Machine learning approaches
K1 Classification and regression trees
SP 1073
OP 1080
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/1553374.1553511
DO https://dl.acm.org/doi/10.1145/1553374.1553511
SF ELIB - SuUB Bremen

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