scikit-learn / scikit-learn/scikit-learn
Spectral clustering for large matrix
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module:cluster
Performance
- Dominant language
- Python
- Stars
- 67.3k
- Forks
- 27.4k
- Avg merge
- 1d 15h
- Merged PRs (30d)
- 58
Description
My affinity matrix size is 57600 by 57600. But when I use spectral clustering for that, the function throws 'memory error'.
Why does the function throws 'memory error'? Is it because of complexity of algorithm ?
My machine has 8 Gb ram ,but no GPU.
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
Start by locating the spectral clustering API and reproducing the memory error with the reported 57,600-by-57,600 affinity matrix on an 8 GB machine. Inspect the relevant implementation or documentation to determine whether the behavior is expected and what evidence would be needed for a fix or clearer explanation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100