Unsupervised machine learning aims at

discovering hidden patterns or

intrinsic structures within the input

data that align with a defined $($group

of$)$ mathematical family$/$ies$.$

discovering the most important and

unimaginable things without giving it

any goal or any sort of restriction,

because it explores absolutely every

conceivable possible way of

combining things in this universe

and beyond.