Clustering
AI/ML Fundamentals
Grouping similar data points together
What is Clustering?
An unsupervised technique that groups data into clusters based on similarity. Points in the same cluster are more similar to each other than to those in other clusters.
Real-World Examples
- •Customer segmentation
- •Document organization
- •Image compression
- •Anomaly detection
When to Use This
To find natural groupings in data without predefined categories
Related Terms
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