Expands methods of knowledge discovery based on visual means Generates new lossless visual representations of n-D data in 2-D that fully preserves n-D data with focus on Machine Learning/ Data Mining goals, in contrast with a generic visualization without a clearly specified goalProvides clear interpretation of features of visual representations in terms of n-D data propertiesEffectively usrees human vision capabilities of shape perception in mapping n-D data points into 2-D graphsRecognizes n-D data structures such as hyper–tubes, hyper-planes, hyper-spheres, etc. using lossless visual data representations weiterlesen