Abstract
The development of methods of computational analysis in machine learning has facilitated the understanding of complex phenomena.The main method used in the exploratory analysis of phenomena is the data clustering, whose goal is to find and distinguish relevant trends from the assessment of the data similarities.However, the planning and execution of data clustering is a complex task that …