Explanation:
Association rules are merely descriptive; they give an overview of how the qualities relate to one another as shown by the examples in the existing data set.
Explanation:
Clustering is a type of unsupervised learning, denoted by the letter K. When they have a ton of unlabeled data, data scientists use it (any info without defined groups or categories.) K denotes that data for different groups are sought after by clustering.