Linear discriminant analysis (LDA) is a versatile statistical method for reducing redundant and noisy information from an original sample to its essential features. In this Primer, Zhao et al. discuss LDA variants and their implementation settings as well as best practices for applying LDA to analyse data.
- Shuping Zhao
- Bob Zhang
- Yong Xu
