Application of cluster analysis to real data

This bachelor's thesis deals with finding similar scenarios in the waste management acquired by an optimization tool NERUDA. Cluster analysis, a tool that identifies related objects and classifies them in groups (clusters), is used for this purpose. The aim of this thesis is to review basic algorithms of cluster analysis and to develop a software that implements them. The software is then used to cluster real data from NERUDA which is followed by an assessment of the obtained clusters