The Image Segmentation (Seg) data set consisted of data relating numerous analyses
of the colors in subdivided images to the type of surface in the image. Each
image was divided up into small subsections, each of which comprised one point
of data. Each data point was composed of 18 different attributes, including one
that determined what the image was of: brick face, foliage, grass, sky, window,
concrete and dirt.