how to do the 1st step in Non-metric MultiDimensional Scaling using Kruscal-Shepherd Algorithm?

I met a problem in implementing non-metric multidimensional scaling. When first initialize the 2d coordinates(x,y) (which will be adjusted later), does it matter if I use a random() to give them a random value? At first I used multidimensional scaling to initialize it, using a method called ClasscalScaling from mdsj.jar. Then I used a random to give it initial value.

The two ways have VERY different results:

mds initialized: mds

random() initialized: random

So Why is that? and which is right?

Answers

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