Is it possbile to do dimension reduction on a single vector?
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Description
Hi, I am trying to do a research on representation of machine learning models and some features of objects, which requires a correlation caculation. The machine learning model outputs a vector representation, the feature of objects is also a vector. However, one is 768 length vector, another is 1124 length vector. I would like to reduce the dimension of 1124 length vector into 768, is it possbile for umap to do dimension reduction on a single vector? From what I know, demention reduction technique is mostly working on feature reduction rather than vector reduction.
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Research direction
Start by checking UMAP's documented input and output assumptions for a single 1124-element vector versus a collection of samples. Clarify whether the request is supported behavior or a new feature, and define done as a documented, reproducible answer or a scoped implementation proposal; no file or test is named in the issue.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100