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 .
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