In Unsupervised Learning, algorithm learns from Unlabeled Data.

Clustering: It involves grouping the similar data points.

E.g creating plans for two types of Telecom Customers:

• Customers having high Call Duration and low Internet usage
• Customers having high Internet Usage and low Call Duration

Association: It involves finding important relationship between two data points.

E.g Customer buying Dairy products:

• here the relationship that can exist is a Customer that buys Bread will also buy Milk as well .