Customer Segmentation and Category association I have to solve two questions on the following dataset:
1. arrange customers into mutually exclusive groups.explain the clusters.
2.identify 1-1 product category association rules for each cluster, i.e. if a customer bought from this category, they are likely to buy from this category too.
Question 1.:

Encode the columns, (Labelencoding, tf-idf, feature generation etc...)&lt;-> quantify the columns, than iterate fastly with different algos and evalute and compare the results, for example with silhuette score.

Question 2. Once you identified the best clustering algorithm, look for the categories that (uniquely or very likely) determine certain cluster/group. It wont be 1-1 but in probabilities determined.