What is a frequent itemset in the Apriori algorithm?

Subject: Machine Learning

Topic: K-Means & Clustering in Unsupervised Learning

Options:

1. Option A: An itemset that appears in at least a minimum number of transactions (support threshold).
2. Option B: The most common single item.
3. Option C: An itemset with the highest confidence.
4. Option D: An itemset that occurs exactly once.

Correct Answer:

Option A: An itemset that appears in at least a minimum number of transactions (support threshold).

Explanation:

An itemset is considered frequent if its support meets or exceeds a user-defined minimum support threshold.