SciML / SciML/ModelOrderReduction.jl
Diffusion Map
Nobody has claimed this yet.
- Dominant language
- Julia
- Stars
- 43
- Forks
- 8
- Avg merge
- 11h 47m
- Merged PRs (30d)
- 14
Description
For non-linear data reduction, Diffusion maps should be considered, as there is good deal of work done here wrt Data Driven MOR methods.
https://www.sciencedirect.com/science/article/pii/S1063520306000546?via%3Dihub
Implementation friendly description at https://mediatum.ub.tum.de/download/1356533/1356533.pdf , page 46
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
The issue names no files, tests, or entry point; begin by reading the linked implementation-friendly description and the cited diffusion-maps paper. Define the intended API and acceptance criteria for adding diffusion maps to nonlinear data reduction, then identify the appropriate package entry point and tests before implementing it.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- data, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100