Abstract Modern approaches for the spatial simulation of categorical variables are largely based on multi-point statistical methods, where a training image is used to derive complex relationships using relevant patterns. In these approaches, simulated realizations driven by utilized, while statistics actual sample data ignored. This paper presents data-driven, high-order approach approximation ...

The development of analysis methods for categorical data begun in 90's decade, and it has been booming the last years. On other hand, performance many these depends on used metric. Therefore, determining a dissimilarity measure is one most attractive recent challenges mining problems. However, several similarity/dissimilarity measures proposed literature have drawbacks due to high computational...