This data mining assignment explores association rule mining and hierarchical clustering techniques. It discusses concepts like support, confidence, lift ratio, and non-normalization in clustering. The assignment analyzes sample airline data to illustrate these concepts and compares the results of hierarchical and K-means clustering methods. It also provides interpretations for identified clusters and offers insights into potential applications.