#linear-discriminant

Linear Discriminant Analysis in R: The Complete lda() Workflow, With the Math That Actually Matters

Here’s the full picture, run against the iris dataset, with real computed output at every step — not placeholder numbers.

Dimensionality Reduction

Dimensionality reduction is a technique used in machine learning to simplify a dataset by reducing the number of features while keeping the…

A Multivariate Data Analysis of Hierarchical Data: Assess the effect of Climate Intervention…

Fisher’s Linear Discriminant Analysis (FLDA) Math Decoded

Classification or Dimensionality Reduction or both?

Understand Linear Discriminant Analysis (LDA) In Machine Learning a Classification Algorithm

Perplexed by the multitude of classification algorithms in machine learning? Fear not, for within the realm of these complex algorithms…

Classification of Red and White Wines using Logistic Regression and LDA

We consider a dataset related to red and white variants of the Portuguese “Vinho Verde” wine. The dataset can be downloaded from…

Yöntemler-5: Doğrusal Ayrımcılık Analizi

Doğrusal Ayrımcılık Analizi / Linear Discriminant Analysis