What distinguishes supervised from unsupervised learning?

Supervised learning

• Using known and labeled data as input
• There is a feedback mechanism in supervised learning.
• Among supervised learning algorithms, decision trees, logistic regression, and support vector machines are the most often used ones.

Unsupervised learning 

• uses the input of unlabeled data.
• Without supervision, there is no feedback system.
• K-means clustering, hierarchical clustering, and algorithm are the three most popular unsupervised learning algorithms.