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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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.
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Assessment
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- Documentation
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- 4/5
- Estimated time
- 3-5 days
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- Stale
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- 20/100