Everybody knows how to plot a point in two or three dimensional
space. Now, when it comes to more than three dimensions, it requires
different techniques. A common way of visualizing high-dimensional
data is parallel coordinates. Parallel coordinates have been
proposed, first, by Inselberg (1985). To show a set of points in a
n-dimensional space, n parallel lines are drawn, typically vertical
and equally spaced. A point in n-dimensional space is represented as
a polyline with vertices on the parallel axes; the position of the
vertex on the

*i-th*axis corresponds to the*i-th*coordinate of the point. Figure 1 shows a linear function represented in a two-dimensional graph and in a parallel coordinates graph.
In parallel
coordinates, the order of the axes is critical for finding features
and for a better data analysis. Some authors have suggested some
ordering heuristics that improve data visualization. This improvement
is illustrated through a simple example on figure 2.

Good text!

ReplyDeleteYour figures were small, I changed them to X-Large size.