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Manifold decomposition is a concept in mathematics and machine learning that involves breaking down complex high-dimensional datasets into simpler, more manageable structures known as manifolds. In this context, a manifold can be understood as a mathematical space that, on a small scale, resembles Euclidean space but may have a more complicated global structure. ### Key Concepts: 1. **Manifolds**: A manifold is a topological space that locally resembles Euclidean space.

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