Testing the relational perspective map for visualization of multidimensional data
Rasa Karbauskaitė, Virginijus Marcinkevičius, Gintautas Dzemyda · 2006
Abstract. This paper deals with a method, called the relational perspective map that visualizes multidimensional data onto two-dimensional closed plane. It tries to preserve the distances between the multidimensional data in the lowerdimensional space. But the most important feature of the relational perspective map is the ability to visualize data in a non-overlapping manner so that it reveals small distances better than other known visualization methods. In this paper, the features of this method are explored experimentally and some disadvantages are noticed. We have proposed a modification of this method, which enables us to avoid them.