F. Blanchard, P. Vautrot, and M. Herbin (France)
: Multidimensional data visualization, mul tidimensional images, dimensionality reduction, principal component analysis, color image
The visualization of multidimensional data is a crucial problem. The multidimensional images do not escape this difficulty. Most of the traditional techniques are failing in clearly displaying this kind of data. We propose a new vi sualization method by generating one color image to sum up the data set. The color allows humain eye to visualize the data set as a whole. The color image provides a global, synthetic and immediate visualization. The technique is based on a dimension reduction by Principal Components Analysis and a transformation of the first three principal components. Our technique is illustred by applications us ing different kinds of multidimensional data.
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