In Hierarchical Clustering, what are the $\mathrm{.}15$

advantages and disadvantages of the

agglomerative approach compared to the

$?$divisive approach

a$.$ It is computationally faster but less

accurate than the divisive approach.

b$.$ It is more flexible in terms of the number

of clusters but can be computationally

expensive for large datasets.

c$.$ It is less sensitive to noise in the data

but requires more memory.

d$.$ It is always preferred over the divisive

approach.