Sammon mapping or Sammon projection is an algorithm that maps a high-dimensional space to a space of lower dimensionality ( “Multidimensional Scaling”) by trying to preserve the structure of inter-point distances in high-dimensional space in the lower-dimension projection. It is particularly suited for use in exploratory data analysis. The method was proposed by John W. Sammon in 1969. It is considered a non-linear approach as the mapping cannot be represented as a linear combination of the original variables as possible in techniques such as principal component analysis, which also makes it more difficult to use for classification applications. … Sammon Mapping google