Exploration of multidimensional space of credit organizations. Scientific Visualization Volume 5, Issue 3, 2013, Pages 89-95

The technique of the visualization of multidimensional data was developed on the basis of mathematical handling of multidimensional data using principal component analysis [2] (PCA) and visualization methods. They are used to extract informative attributes of objects for further classification. The resulting space of principal components was visualized through the low dimensional projections. Documented court decisions to close the fraudulent banks were used as a key for interpretation. Identified geometrical patterns can be used to detect money laundering and terrorist financing threats looming in a credit institution.
Indexed keywords
Attribute; Techniques; Terrorist financing; Threat; Visual analysis