Unsupervised learning is a type of machine learning where the algorithm is given data without explicit instructions on what to do with it. The algorithm must learn the structure from the data, usually by trying to find some patterns in the data.

  • Applications
    • Clustering
    • Association
    • Dimensionality Reduction

Clustering Example

To learn more about unsupervised learning and its applications, you can visit our Machine Learning Resources.