OpenGenus/cosmos

Add code for Principal Component Analysis (PCA)

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#3686 opened on Oct 1, 2018

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 (4 comments) (0 reactions) (0 assignees)C++ (13,462 stars) (3,724 forks)batch import
Hacktoberfestadd codegood first issuenew algorithm

Description

This is a(n):

  • New algorithm
  • Update to an existing algorithm
  • Error
  • Proposal to the Repository

Details:

The task is to add code for Principal Component Analysis (PCA) in any language of your choice (C, C++, Java, Python, Swift, JavaScript, GoLang, Matlab and others.

The path of this code will be: code/artificial_intelligence/src/principal_component_analysis/

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Contributor guide

Tech stack
ccppjavapythonswiftjavascriptgo
Domain
machine learning
Issue type
feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
half day
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
stale
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
clear
Prerequisites
linear algebraPCA algorithm understandingbasic programming
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
60
Research direction
Look at existing algorithms in the repository under similar paths (e.g., other algorithms in artificial intelligence/src) to understand the expected structure and coding style. Implement the PCA algorithm in a language of your choice, ensuring it is well documented and follows the repository's conventions. The code should be placed in 'code/artificial intelligence/src/principal component analysis/'.