Following are the descriptive models

Descriptive models in machine learning are used to describe and summarize the relationships and patterns within data without making predictions. Clustering is a descriptive modeling technique that groups similar data points together based on certain characteristics or features.
Association rule is another descriptive modeling technique used to discover interesting relationships between variables in large datasets.
Therefore, Option D is correct because it includes both clustering (Option A) and association rule (Option C) as descriptive models.