Milman, I., Pilyugin, V.V.
Abstract:
One of the most important tasks in modern world is to find solutions to problems of processing and analyzing multidimensional data. In this paper we present an approach for cluster analysis of multidimensional geometric data. Some definitions and extensions of classical cluster analysis problem is given. Our approach is based on the visualization method. Suggested approach allows us to analyze multidimensional data and distances in multidimensional Euclidean space using three-dimensional spatial scenes and shows an easy way for cluster analysis and anomaly discovery. An example of solving the problem of analysis of financial multidimensional data of credit organizations is also presented.