On the stochastic geometrical foundations of metric multidimensional scaling
This paper deals with the topological and measure theoretic probability foundations of metric multidimensional scaling. The first four sections develop minimal separation properties for a set of points or space to model a stimulus. The next three sections give measure theoretic probabilistic structure to random stimulus points and their random connecting paths.
scientific article; zbMATH DE number 3905713
scientific article