this sis wrong again. Grouping of objects with similar colors is clustering and not classification. Classification is point 3 where we will predict whether the person will go to office by cycle (answer - yes or no - hence clasification) depending on the distance
The easiest way I have found, to differentiate between the cases is:
Regression: "How" (Predicting "How many", "How much") quantifying a numerical output.
Classification: "Either or" (Predicting which class something falls under) labels available.
Clustering: "Groups/Grouping" (Grouping according to features) labels unavailable.
BECAUSE the grouping of image is base in their colour ( in advance known parameter ) it's a classification , Cluster is base in unknow parameter or feauture
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