Dimension of the manifold on which my data sits
Suppose that I have data points, in the form of vectors with binary entries. We create a metric space, or Vietoris-Rips complex, using the Hamming distance between the data points.
I would like to imagine that my data points naturally sit on some manifold, which I want to somehow reconstruct (at least, its dimension).
What are the tools/techniques/references/keywords for such data analysis?
Thank you!
Topic data-analysis metric manifold dimensionality-reduction bigdata
Category Data Science