TheAlgorithms / TheAlgorithms/Python

LLE and MDS in dimensionality reduction

Open
#13,116 3 comments 0 reactions 0 assignees View on GitHub

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

  1. Locally Linear embeddings
  2. Multidimensionality reduction

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. 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

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.