K$-$means clustering tries to minimize $\_\_\_\_\_\_\_\_\_\_.$

K$-$means clustering tries to minimize $\_\_\_\_\_\_\_\_\_\_.$

the sum of the squared between$-$cluster errors

the sum of the squared distance of cluster members to the own cluster centroid

the sum of the squared distance of cluster members to the nearest cluster centroid

the sum of the squared distance of cluster members to the farthest cluster centroid