K-Means++ is an algorithm for:

Subject: Machine Learning

Topic: K-Means & Clustering in Unsupervised Learning

Options:

1. Option A: Improving the initialization of K-Means centroids.
2. Option B: Reducing the number of features.
3. Option C: Mining association rules.
4. Option D: Hierarchical clustering.

Correct Answer:

Option A: Improving the initialization of K-Means centroids.

Explanation:

K-Means++ is a smart initialization technique that spreads the initial centroids out to improve convergence and cluster quality.