A mountain-hut shop has unlabeled till rolls. One request is “put guests into groups that look alike.” The other is “which snack tends to appear with which fuel canister.” How should those unsupervised requests be assigned?

Short Explanation

Unlabeled till rolls split two ways. Put guests into groups that look alike is clustering. Which snack appears with which fuel canister is association. Both stay unsupervised. Those rolls do not already have class labels.

Full Explanation

Inside unsupervised learning, clustering groups similar points and association finds relationships among attributes. Classification, ML regression, and RL need different feedback than unlabeled till rolls.

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