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. © 2010 Springer Berlin Heidelberg.
CITATION STYLE
Dashti, H. T., Kloc, M. E., Simas, T., Ribeiro, R. A., & Assadi, A. H. (2010). Introduction of empirical topology in construction of relationship networks of informative objects. IFIP Advances in Information and Communication Technology, 314, 35–43. https://doi.org/10.1007/978-3-642-11628-5_4
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