This assignment explores data mining techniques, specifically association rule mining and hierarchical/k-means clustering. It analyzes customer purchase patterns to identify relationships between products (association rules) and segments customers based on their spending behavior (clustering). The assignment discusses the results of these techniques, highlighting the importance of parameter selection (minimum confidence level) and comparing the outcomes of different clustering methods.