APPLICATION OF HIGH-RESOLUTION COMPUTER-GRAPHICS TO PATTERN-RECOGNITION ANALYSIS

False color data imaging has proven to be a powerful technique for the analysis and visualization of satellite data. This success suggests that high-resolution computer graphics can also play an important role in the analysis of multivariate data obtained from chemical instruments. The development of a graphics tool for visualization of multivariate data is described in this paper. The proposed graphics tool utilizes the fuzzy c-varieties clustering algorithm, principal components analysis and false color data imaging to generate maps of high informational density of the data space. The graphics tool has been tested successfully using data sets from the literature representative of the pattern recognition problems encountered by chemists.