Is your feature request related to a problem? Please describe.
I would like to try to use UMAP to project data down to one dimension, then rank the data points in this one dimensional space to use as an ordering for the points in a heatmap. I plan on doing this for rows and columns separately. My hope is that this will enable a faster way of arranging/clustering data points and dimensions in a heatmap (it will lack the hierarchical clustering information obtained via hierarchical clustering). But it may be useful as a quick and dirty way of producing a heatmap from a large dataset.

@lmcinnes, would you think this seems like a reasonable idea?

Describe the solution you'd like
I'll use UMAP with n_componenets=1 (see https://github.com/lmcinnes/umap/blob/3f6e92f0ece650423d52eb560fac31db7e3f7dc7/doc/parameters.rst#n_components) then proceed as described above.