Introduction of Empirical Topology in Construction of Relationship Networks of Informative Objects
arXiv:0912.4986 · doi:10.1007/978-3-642-11628-5_4
Abstract
Understanding the structure of relationships between objects in a given database is one of the most important problems in the field of data mining. The structure can be defined for a set of single objects (clustering) or a set of groups of objects (network mapping). We propose a method for discovering relationships between individuals (single or groups) that is based on what we call the empirical topology, a system-theoretic measure of functional proximity. To illustrate the suitability and efficiency of the method, we apply it to an astronomical data base.