Analysis of techniques to compare complex data sets

D. E. Coleby, A. P. Duffy

Research output: Contribution to journalArticlepeer-review

21 Citations (Scopus)


This paper analyses a number of techniques that can be used to compare complex data sets, such as those arising from electromagnetic simulation and experimentation. The techniques assessed are: correlation, several reliability factors and feature selective validation. The study examines the performance of each technique for data comparison. The paper provides a comprehensive summary of the techniques and compares their performance and comments on their use in the validation of numerical modelling codes and model designs.

Original languageEnglish
Pages (from-to)540-553
Number of pages14
Issue number4
Publication statusPublished - 2002
Externally publishedYes


  • Correlation analysis
  • Data capture
  • Validation

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics


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