TRANSFORMED CLUSTER-ANALYSIS - AN APPROACH TO THE IDENTIFICATION OF GASES ODORS USING AND INTEGRATED GAS-SENSOR ARRAY

This paper deals with 'transformed cluster analysis', which can be use d to analyse gas-sensor responses for the identification of individual gases/odours present in the ambient. The computational strategy for t he analyses consists of transformation of data, graphical representati on, formulation of the classification method, interpretation of result s and quantification. The unknown gas/odour may be classified into fiv e different probability groups according to the transformed responses obtained, i.e., real object, apparent object, probable object, doubt o bject and atypical object. This method also helps to evaluate the effe ct of dopants. The method is illustrated here with experimental data o btained in the laboratory. It is predicted that the technique can succ essfully be used for application-specific gas sensors.