What I meant is that I can imagine cases where some part of the dataset may look like R2 and then colapse to have a spike that looks like R1, so it is not a standard manifold where all of it has the same dimension.
Appart from that, these "manifolds" have noise, so that is another difference with the standard manifolds.
Appart from that, these "manifolds" have noise, so that is another difference with the standard manifolds.