Sure. These techniques are called Dimensionality Reduction or manifold learning. The wikipedia article actually has a good description: <a href="https:&#x2F;&#x2F;en.wikipedia.org&#x2F;wiki&#x2F;Nonlinear_dimensionality_reduction" rel="nofollow">https:&#x2F;&#x2F;en.wikipedia.org&#x2F;wiki&#x2F;Nonlinear_dimensionality_reduc...</a>
Some of the more interesting ones: locally linear embedding, isomap, MLLE, Maximum Variance Unfolding.