Comparing the hierarchical clustering and k$-$means clustering methods: Select all that are correct.

Comparing the hierarchical clustering and k$-$means clustering methods: Select all that are correct.

k$-$means requires to pre$-$determine the number of segments, hierarchical clustering does not require that.

with the same large data set, it generally takes longer to run hierarchical clustering than k$-$means clustering.

k$-$means clustering cannot find results when the number of segments is larger than $10.$