-
Notifications
You must be signed in to change notification settings - Fork 14
Open
Description
Hello,
Thank you for the wonderful library! I have a question regarding how to obtain the Riemannian Measure / Volume Element μ, also called the leading-left eigenvector of the transition probability matrix μP = μ.
In the original NLSA paper page 3, column 2, paragraph 2 and algorithm page 4, line 40, μ is given explicitly.
Am I correct in thinking that this quantity is calculated as the reciprocal of row_sum on line 136 of diffusion_map.py during the _left_normalize function, and subsequently discarded?
Thank you for any assistance.
Metadata
Metadata
Assignees
Labels
No labels