Measures of Dissimilarities for Contrasting Information Sources in Data Fusion

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


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.


Cluster Criterion Contrast Function Leibler Information Reliability Data Source Reliability Data Collection 
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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

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