I. Introduction
Contemporary data analysis brings many critical problems for the development of societies and business organizations. One of them is the analysis of the integrity of large data sets, in particular the search for anomalies and the so-called outliers in these collections. These types of data irregularities can have different origins, e.g., they can be incorrectly entered "manually" by users, added randomly as a result of erroneous implementations (e.g. through data format), or have significant variations in amplitude. Irregularities are not just mistakes. They may have their sources in, for example, extortion attempts or hacker attacks. In view of such a wide range of speeches, the use of effective methods, often oriented to a given subject field, seems to be a key task.