Manifold learningData lie on a low-dimensional manifold embedded in a higherdimensional space (Manifold hypothesis)Mostly used for visualization while Axes do not have interpretation in the input spaceNon-linear dimensionality reductionsKernel PCAt-SNEUMAPIsomapPaCMAPSpectral embedding LLETriMap