Linear discriminant analysis (LDA), normal discriminant analysis (NDA), canonical variates analysis (CVA), or discriminant function analysis is a generalization of Fisher's linear …

线性判别分析（Linear Discriminant Analysis，LDA）的一种经典的线性学习方法（属于监督学习），这里先借用周志华教授的《机器学习》中的图片来做一个直观的展示：正如该图中展示的 …

2015年2月28日 · The plot() function actually calls plot.lda(), the source code of which you can check by running getAnywhere("plot.lda"). This plot() function does quiet a lot of processing of …

lda在模式识别领域（比如人脸识别，舰艇识别等图形图像识别领域）中有非常广泛的应用，因此我们有必要了解下它的算法原理。 1. lda的思想. lda的思想是：最大化类间均值，最小化类内方 …

2025年2月10日 · Linear Discriminant Analysis (LDA) also known as Normal Discriminant Analysis is supervised classification problem that helps separate two or more classes by converting …

2020年10月30日 · Linear discriminant analysis is a method you can use when you have a set of predictor variables and you’d like to classify a response variable into two or more classes. This …

result$x是将预测样本（这里是irisdata）进行仿射变换的结果,先由lda.sol$scaling对样本进行降维，然后再减去降维后的总样本均值。 可以发现，得到的x和predict函数得到的result$x是一样 …

This function is a method for the generic function plot() for class "lda". It can be invoked by calling plot(x) for an object x of the appropriate class, or directly by calling plot.lda(x) regardless of the …

LDA Plot. The LDA plot visualizes the separation between groups based on the linear discriminants. For datasets with more than one linear discriminant, it plots the first two.

2021年5月2日 · Linear Discriminant Analysis (LDA) is a dimensionality reduction technique. LDA used for dimensionality reduction to reduce the number of dimensions (i.e. variables) in a …