Visualizing and Classifying Odors Using a Similarity Matrix

Liran Carmel, Yehuda Koren, D. Harel

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


The Lorentzian model is an analytic expression that describes the time response of electronic nose sensors. We show how this model can be utilized to calculate a normalized similarity index between any two measurements. The set of similarity indices is then used for two purposes: visualization of the data, and classification of new samples. The visualization is carried out using graph drawing tools, and the results are shown to bear some desired properties. The classification is done using a majority-decision type algorithm, and is demonstrated to have very low error rate.
Original languageAmerican English
Title of host publicationProceedings of the 9th International Symposium on Olfaction and Electronic Nose ISOEN '02
Place of PublicationRome
PublisherAracne Editrice
Number of pages6
StatePublished - 2003


  • electronic noses
  • similarity index
  • feature extraction
  • Lorentzian model
  • graph drawing
  • Visualization
  • classification


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