What is the effect of increasing the number of clusters K in the K$-$means algorithm?

Question $16$Answer

a$.$

Increases the number of iterations to converge

b$.$

Decreases the number of iterations to converge

c$.$

Decrease the within$-$cluster sum of squares $($WCSS$)$

d$.$

Increase the within$-$cluster sum of squares $($WCSS$)$

e$.$

K$-$means clustering guarantees finding the global minimum