Clustering is a way to group data together based on similarities. This study compared different methods for clustering data, like "ward", "single linkage", and "complete linkage". The researchers applied these methods to real shopping data to see which one worked best. They found that the "ward" method gave different results compared to the other methods, showing that the choice of clustering method can affect the outcome.