OpenGenus/cosmos

Add code for Principal Component Analysis (PCA)

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#3,686 创建于 2018年10月1日

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 (4 评论) (0 反应) (0 负责人)C++ (13,462 star) (3,724 fork)batch import
Hacktoberfestadd codegood first issuenew algorithm

描述

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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贡献者指南

技术栈
ccppjavapythonswiftjavascriptgo
领域
machine learning
议题类型
feature
难度面向新贡献者的预计实现难度，1 表示很小改动，5 表示专家级工作。
3
预计时间有经验贡献者完成调查、实现、测试并准备 pull request 的粗略时间范围。
half day
活动状态议题当前的可参与程度：新鲜、活跃、陈旧、阻塞或等待维护者输入。
stale
清晰度议题是否清楚说明期望改动、验收标准和下一步。
clear
前置要求
linear algebraPCA algorithm understandingbasic programming
新手友好度1-100 的估计分数，表示该议题对首次贡献者的友好程度。
60
研究方向
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/'.