Advertisement

Measures of Dissimilarities for Contrasting Information Sources in Data Fusion

  • L. Olivi
  • R. Rotondi
  • F. Ruggeri
Conference paper

Summary

Information content of data coming from a given source is modelled and formalized as a probability distribution and, as such, considered as a point in a function space, where a concept of distance can be introduced.

In such a space, Kullback-Leibler Information is a contrast function able to measure dissimilarities between probability distributions and, then, a practical index for clustering different information sources according to the quality of their content.

Keywords

Cluster Criterion Contrast Function Leibler Information Reliability Data Source Reliability Data Collection 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Besi, A.: Characteristics and Use of the Component Event Data Bank, IAEA Technical Committee Meeting on Evaluation of Reliability Data Sources, Vienna, 1–5 February 1988.Google Scholar
  2. 2.
    Dyer, D. and Chion P.: An Information-Theoretic Approach to Incorporating Prior Information in Binomial Sampling. Comm. in Statistics. Theory and Methods 13 (17), 2051–2083, 1984.CrossRefMATHMathSciNetGoogle Scholar
  3. 3.
    Kullback, S.: Information Theory and Statistics, John Wiley and Sons, N.Y. 1959.MATHGoogle Scholar
  4. 4.
    Dacunha-Castelle, D. and Duflo, M.: Probabilités et Statistiques, Masson, Paris 1982.Google Scholar
  5. 5.
    Abramorwitz, M. and Stegun J.A. editors: Handbook of Mathematical Functions. Dower Publications Inc. N.Y. 1965.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1989

Authors and Affiliations

  • L. Olivi
    • 1
  • R. Rotondi
    • 2
  • F. Ruggeri
    • 2
  1. 1.CEC-JRCIspra (VA)Italy
  2. 2.CNR-IAMIMIItaly

Personalised recommendations