First this article describes some of the basic concepts of multidimensional scaling of similarities and preference data and provides a short description of its historical development. Then it reports ...

Although there has been both historical and current interest in the topic of children's dimensional preferences, only simple classifying methods have thus far been proposed for measuring preferences.

Multi-Dimensional Scaling is configurable during runtime, giving organizations the ability to deploy one configuration at launch, and then change the scaling based on application performance needs.