TheAlgorithms / TheAlgorithms/Python
LLE and MDS in dimensionality reduction
Open
Nobody has claimed this yet.
enhancement
- Dominant language
- Python
- Stars
- 225k
- Forks
- 51.1k
- Avg merge
- 1d 23h
- Merged PRs (30d)
- 156
Description
Feature description
These algorithms were not part of machine_learning/dimensionality_reduction.py
- Locally Linear embeddings
- Multidimensionality reduction
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 reading machine_learning/dimensionality_reduction.py and reviewing its existing algorithms and conventions. Treat Locally Linear Embedding and Multidimensional Scaling as the scope, then verify that both algorithms are represented in the module and follow the surrounding structure.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 42/100