Assume that each point of the above Table further contains a class label. Points A$,$ B

and C belong to class $0$; points D and E belong to class $1$; point E belongs to class

$2$; point F belongs to class $3$; points G and H belong to class $4.$ Assign classes to

the clusters that you found on question $($b$),$ based on the majority value of the class

attribute within each cluster. Discuss a problem which you observe. What would be

the difference if you run K$-$means with $7$ clusters $($K$=7)?$ You do not need to run the

algorithm in this case.