GitHub

discrimintools : Python library for Discriminant Analysis (DA)

Discriminant analysis is a classification problem, where two or more groups or clusters or populations are known a priori and one or more new observations are classified into one of the known ...
TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
IEEE

Saliency-Based Multilabel Linear Discriminant Analysis

Abstract: Linear discriminant analysis (LDA) is a classical statistical machine-learning method, which aims to find a linear data transformation increasing class discrimination in an optimal ...
IEEE

A Doubly Regularized Linear Discriminant Analysis Classifier With Automatic Parameter Selection

Abstract: Linear discriminant analysis (LDA) based classifiers tend to falter in many practical settings where the training data size is smaller than, or comparable to, the number of features. As a ...