Using Cluster Analysis for Studying the Proximity of Registered Unemployment at the Level of Counties in Romania at the Beginning of the Economic Crisis

Cluster analysis classifies a set of observations into two or more mutually exclusive unknown groups based on combination of interval variables and it has proven to be very useful. The classification aim is grouping the objects between their similarities or dissimilarities and so providing a synthetic description or a cut of data. In this paper we analyze the disparities into the counties of Romania looking the number of registered unemployed according to the latest official statistical data using one technique of clusters analysis.