线性判别分析精华

线性判别式分析（Linear Discriminant Analysis），简称为LDA。也称为Fisher线性判别（Fisher Linear Discriminant，FLD），是模式识别的经典算法，在1996年由Belhumeur引入模式识别和人工智能领域。
基本思想是将高维的模式样本投影到最佳鉴别矢量空间，以达到抽取分类信息和压缩特征空间维数的效果，投影后保证模式样本在新的子空间有最大的类间距离和最小的类内距离，即模式在该空间中有最佳的可分离性。

Fisher线性判别分析：Fisher Linear Discriminant Analysis(FLD)
- https://zhuanlan.zhihu.com/p/26748779
人脸识别：回顾与展望
- https://zhuanlan.zhihu.com/p/27642341
R语言lda(线性判别分析)各项结果的说明
- https://zhuanlan.zhihu.com/p/25501130
3 人赞了 LDA（线性判别分析） - 知乎专栏
- https://zhuanlan.zhihu.com/p/33185052/voters
Dimensionality Reduction——LDA线性判别分析实现篇
- https://zhuanlan.zhihu.com/p/27914876
Linear & Quadratic Discriminant Analysis · UC Business...
- http://uc-r.github.io/discriminant_analysis
Fisher Discriminant Analysis
- https://i-systems.github.io/HSE545/machine%20learning%20all/07%20dim%20reduction/02_Fisher_python.pdf
Linear & Quadratic Discriminant Analysis · AFIT Data...
- https://afit-r.github.io/discriminant_analysis
3.1 Connection to Discriminant Analysis
- http://chbrown.github.io/kdd-2013-usb/kdd/p1124.pdf
Linear Discriminant Analysis
- http://mcneela.github.io/machine_learning/2017/06/12/Gaussian-Discriminant-Analysis.html
Linear and Quadratic Discriminant Analysis with confidence...
- http://lijiancheng0614.github.io/scikit-learn/auto_examples/classification/plot_lda_qda.html
Linear Discriminant Analysis
- https://rasbt.github.io/mlxtend/user_guide/feature_extraction/LinearDiscriminantAnalysis/
Generalization Error of Linear Discriminant Analysis in
- http://krvarshney.github.io/pubs/Varshney_tsp2012.pdf
Linear and Quadratic Discriminant Analysis with confidence...
- http://vighneshbirodkar.github.io/scikit-learn.github.io/dev/auto_examples/classification/plot_lda_qda.html
zhihu.com/lives
- https://www.zhihu.com/lives
Dykin's blog
- https://steveli90.github.io/2016/11/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0-%E4%BA%8C-%E7%BA%BF%E6%80%A7%E5%9B%9E%E5%BD%92
静态分析简述 // Neurohazard
- http://blkstone.github.io/2017/01/11/static-analysis/
推荐阅读
- https://zhuanlan.zhihu.com/p/26305845
如何看待《全球最大基金用人工智能炒股试验，回报率超500...
- https://www.zhihu.com/question/63282029/answer/207579271
机器学习该怎么入门？ - 知乎
- https://www.zhihu.com/question/20691338?sort=created&page=3

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