Clustering objects described by juxtaposition of binary data tables.
Rebbouh, Amar (2008)
Journal of Applied Mathematics and Decision Sciences
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Displaying similar documents to “The use of information and information gain in the analysis of attribute dependencies”
Clustering objects described by juxtaposition of binary data tables.
Boltzmann-Gibbs entropy: Axiomatic characterization and application.
Chakrabarti, C.G., De, Kajal (2000)
International Journal of Mathematics and Mathematical Sciences
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A summary on entropy statistics
María Dolores Esteban, Domingo Morales (1995)
Kybernetika
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A new approach to mutual information
Fumio Hiai, Dénes Petz (2007)
Banach Center Publications
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A new expression as a certain asymptotic limit via "discrete micro-states" of permutations is provided for the mutual information of both continuous and discrete random variables.
A general class of entropy statistics
María Dolores Esteban (1997)
Applications of Mathematics
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To study the asymptotic properties of entropy estimates, we use a unified expression, called the -entropy. Asymptotic distributions for these statistics are given in several cases when maximum likelihood estimators are considered, so they can be used to construct confidence intervals and to test statistical hypotheses based on one or more samples. These results can also be applied to multinomial populations.
Shannon entropy: axiomatic characterization and application.
Chakrabarti, C.G., Chakrabarty, Indranil (2005)
International Journal of Mathematics and Mathematical Sciences
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On the modified entropy equation.
Gselmann, Eszter (2008)
Banach Journal of Mathematical Analysis [electronic only]
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Entropy Model to Simulate Origin-Destination Trip Generation
Savo M. Jovanović (1997)
The Yugoslav Journal of Operations Research
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A new approach to mutual information. II
Fumio Hiai, Takuho Miyamoto (2010)
Banach Center Publications
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A new concept of mutual pressure is introduced for potential functions on both continuous and discrete compound spaces via discrete micro-states of permutations, and its relations with the usual pressure and the mutual information are established. This paper is a continuation of the paper of Hiai and Petz in Banach Center Publications, Vol. 78.
A pragmatic uncertainty measure based on rate-distortion theory and the uncertainty of BOE's.
Anna Fioretto, Andrea Sgarro (1996)
Mathware and Soft Computing
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We discuss pragmatic information measures (hypergraph entropy and fractional entropy) inspired by source-coding theory (rate-distortion theory). We re-phrase the problem in the language of evidence theory, by expressing the pragmatic requirements of the human agent in terms of suitable bodies of evidence, or BOE's. We tackle the situation when the overall uncertainty is removed in two steps. In the case when fractional entropy measures the first-step (partial, pragmatic) uncertainty,...