Computation of criterion S of a visualization
TopoS computes one version of the criterion
stress as i.e.
sammon for a given visualization.
- a symmetric distance matrix consisting of distances in the origin space (
- a symmetric distance matrix consisting of distances in the target space (
TopoS first performs a homogeneous linear regression where
dx is predicted by
Then the residual sum of squares of this regression is computed and divided by the sum of squared
Finally one minus the square root of the latter result defines
TopoSreturns a numeric between zero and one which is the criterion
Sof the given visualization.
# Compute S for the MDS visualization of the german business data data(B3) plot(cmdscale(dist(B3[, 2:14])), col = rainbow(4)[B3[, 1]], pch = 16) TopoS(dist(B3[, 2:14]), dist(cmdscale(dist(B3[, 2:14]))))