Add Metis Hierarchy
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
Research direction
No file or test is named. Start by locating the graph-algorithm entry points and any existing Metis-related code, then define the proposed metis_hierarchy API, including nlevels and graphs, plus restriction and propagation functions. Done means the hierarchy and level-transfer operations support the stated pure Julia Neo-K-means use case.
Written by the indexing model from the issue text.
Description
It'd be lovely to have Julia code for the metis hierarchy.
hier = metis_hierarchy(A;...)
hier.nlevels
hier.graphs # Arrary of SparseMatrix types...
along with some restriction and propagation functions to translate data between levels. This would make a pure Julia Neo-K-means implementation easy.
- Dominant language
- Julia
- Stars
- 110
- Forks
- 25
- PR merge metrics
- No merged PRs in 30d
Getting set up
This project ships no dev container, Dockerfile or contributing guide, so setting up is up to you: start from its README, and see our first-contribution guide for the general steps.
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.
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