isLouisHsu / isLouisHsu/isLouisHsu.github.io
LDA | LOUIS' BLOG
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Description
https://louishsu.xyz/2019/04/22/LDA/
前言在PCA中，介绍了无监督降维方法，主成分分析(Principal Components Analysis)。从投影后数据方差最大的角度出发，选取主轴。下面介绍一种有监督的降维方法，线性判别分析(Linear Discriminant Analysis)。 原理设有$n$维样本集$D={x^{(1)}, …, x^{(i)}, …, x^{(m)}}$，所属类别数目为$C$，现求其第一投影轴
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- 3/5
- Estimated time
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