In machine learning and data science literature, clustering is the task of dividing the observations (data points) into several categories in such a way that data points falling into one group are being dissimilar than the data points falling to the other groups such that the variation within a...

The study aims at empirical verification of the quality of pension system clustering based on two dimensions: the extent of involvement of the state in the pension system and the level of voluntariness. To answer the question of whether these two dimensions actually determine the division into...

In this paper, the profitability indicators are analysed for the first hundred companies of the Croatian market, which are classified according to the net profit. The profitability indicators included in the analysis are the following: EBIT margin, EBITDA margin, net profit margin, return on...