Although cluster analysis is very young field of statistics, it is growing very rapidly. First clustering techniques are only several decades old. Since amounts of data are growing faster and faster, the only way how to still mine them is to reduce (i.e. cluster) them. In this thesis, we introduce clustering task, similarity measures and selected clustering algorithms. We also apply our knowledge to two simulated datasets.