Which of the following is a key difference between k-means and hierarchical clustering?

a.

K-means clustering is deterministic, while hierarchical clustering is probabilistic.

b.

K-means clustering works well with categorical data, while hierarchical clustering is suitable for numerical data.

c.

K-means clustering requires a predefined number of clusters, while hierarchical clustering does not.

d.

K-means clustering is a divisive method, while hierarchical clustering is agglomerative.