2019年2月22日 · 《LDA数学八卦》大概于2013年发表在我爱自然语言处理博客上，是我的前腾讯Leader rickjin的作品，应该也是目前中文互联网上介绍LDA最好的材料之一；该系列大概 …

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 …

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

2025年1月1日 · 线性判别分析（lda）是一种统计方法，主要用于数据降维和分类。它通过寻找最佳投影方向，使类间距离最大化，类内距离最小化，从而提高分类效果。以下是lda的步骤详 …

LDA: multivariate normal with equal covariance# LDA is the special case of the above strategy when \(P(X \mid Y=k) = N(\mu_k, \mathbf\Sigma)\) . That is, within each class the features …

LinearDiscriminantAnalysis(LDA) Datarepresentationvsdataclassification PCA aims to find the most accurate data representation in a lower dimen-

Linear Discriminant Analysis (LDA) is a classification technique that projects high-dimensional data onto a lower-dimensional space, optimizing separation between predefined groups. It is …

2025年2月28日 · In this section, we will present a numerical example explaining how to calculate the LDA space step by step and how LDA is used to discriminate two different classes of data …

(sum of square differences between the projected samples and their class mean). measures the variability within class ωi after projecting it on the y-space. two classes at hand after projection, …

The goal of LDA, especially when we interpret it as a technique for reducing dimensions, is to separate data in a straight line. When we consider the math of linear functions, this is …