4.1 Unsupervised learning

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Unsupervised learning: -

  • Unsupervised learning is a machine learning technique in which the algorithm learns patterns from unlabeled data and groups similar data automatically.
  • The machine learns from data on its own without user guidance.
  • In this method, we give the system only input data, but we do not tell the correct output.
  • The algorithm studies the data and finds patterns or groups by itself.
  • it is used mainly for clustering and pattern discovery


Example : Grouping Fruits

Imagine we give a computer a basket of fruits with features like:

  • Color

  • Size

  • Shape

The computer does not know the names apple, orange, banana. But it observes the features and groups similar fruits together.

For example:

Group 1 → Red, round fruits
Group 2 → Yellow, long fruits
Group 3 → Orange, round fruits

The computer creates groups based on similarity. This process is called clustering, which is a common unsupervised learning technique.









































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