Combining cluster analysis and continuous isosurface colouring in a tool for data exploration

The paper shows how two powerful techniques for supporting data exploration of multidimensional data can be combined in a tool for this purpose. The techniques, cluster analysis and graphic visualization, are briefly presented and discussed as modules of a prototype. Its performance is illustrated by experiments resulting in cluster configurations where the value distribution of "underlying" dimensions are visualized with colors of shades of grey