Isomap (Isometric Mapping) is a nonlinear dimensionality reduction technique that is used for discovering the underlying structure of high-dimensional data. It is particularly effective for data that lies on or near a low-dimensional manifold within a higher-dimensional space. Isomap extends classical multidimensional scaling (MDS) by incorporating geodesic distances, enabling it to preserve the global geometric structure of data.
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