Abstract: A two dimensional rendition of a multi-dimensional data set is presented wherein the multi-dimensional data set is graphed on a coordinate system having axes that are a predetermined angle away from each other axes in the coordinate system. Each subsequent predetermined angle may be half the previous predetermined angle for the series of coordinate axes. Additionally a clustering approach is presented that clusters the solution vectors of the data thereby combining elements of regression with clustering and reducing the dimensionality of the data to be clustered while allowing the clustering to be done against a set of reference vectors or data.