Unsupervised learning enables algorithms to discover hidden patterns or groupings within data without labeled examples, making it useful for exploratory analysis and anomaly detection.
Clustering tasks
Data Scientists
Lack of predefined labels makes it challenging to direct learning.
A clustering algorithm groups customer transactions into segments based on purchasing behavior without prior knowledge of categories.
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