Question 1
What is the main advantage of using Gaussian Mixture Models (GMMs) over K-Means clustering?
Question 2
In the context of PCA, what do the principal components represent?
Question 3
Which of the following metrics is commonly used to evaluate clustering performance when true labels are unavailable?
Question 4
What is the primary goal of density estimation in unsupervised learning?
Question 5
In K-Means clustering, how is the centroid updated during each iteration?
