manifold learning

Manifold learning is a machine learning technique that aims to uncover the underlying structure or patterns in high-dimensional data by reducing it to a lower-dimensional representation while preserving its important characteristics. It helps in visualizing and understanding complex datasets that cannot be easily analyzed in their original form.

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