Descriptor-based sample navigation via dimensional reduction(ish) (proof-of-concept)

So I’m starting to look at these and I have a few questions/clarifications from more experienced people i.e @weefuzzy and @groma or anyone who has some insight. Please correct me where appropriate.

  • t-sne is mostly concerned with distances between points. I don’t need to standardise the data but normalisation is important if i want to make features between analysis equally weighted…correct?

  • should I standardise/normalise the input data for the isomap? Is it basically the same concerns as point 1?