Unsupervised Learning Models
Unsupervised models process data without predefined labels, allowing the system to discover structural properties on its own.
- Clustering: Groups similar data points together based on shared traits (e.g., K-Means, Hierarchical clustering).
- Dimensionality Reduction: Simplifies complex datasets while retaining vital patterns (e.g., Principal Component Analysis). Specialized and Advanced Models
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