isLouisHsu / isLouisHsu/isLouisHsu.github.io

PCA | LOUIS' BLOG

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Description

https://louishsu.xyz/2018/10/22/PCA/

引言PCA全称Principal Component Analysis,即主成分分析,是一种常用的数据降维方法。它可以通过线性变换将原始数据变换为一组各维度线性无关的表示,以此来提取数据的主要线性分量。 向量的投影现有两个任意不共线向量$\vec{u}, \vec{v}$,将$\vec{u}$投射到$\vec{v}$上 投影后,可以得到两个正交向量 \vec{u}' · (\vec{u} - \

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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

The issue contains a PCA article excerpt and a link to the author's blog, but it does not name a repository file, test, or specific change. First clarify whether the goal is to add, correct, or migrate this content and where it belongs; completion cannot be determined from the current issue.

Written by the indexing model from the issue text.

Assessment

Domain
content
Issue type
Documentation
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

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