What is the difference between supervised and unsupervised learning? - Question & Answer Book

 

Answer: In supervised learning the categories, data is assigned to are known before computation. So, they are being used in order to ‘learn’ the parameters that are really significant for those clusters.

In unsupervised learning Datasets are assigned to segments, without the clusters being known.