GitHub

fiqgant/Linear-Discriminant-Analysis-LDA-on-K-Nearest-Neighbour-KNN-Algorithm-For-Attribute-Reduction

Classification algorithms mostly become problematic in data with high dimensions, in the form of a decrease in classification accuracy. One method that allows classification algorithms to work faster ...
GitHub

# Iris-Classification-LDA-Aproach-And-Implementing-LDA-From-Scratch

>> 1) Reading dataset and splitting it into train and test and then classifying it with built-in LDA Algorithm >> 2) Implementing LDA algorithm from scratch and then classifying the dataset with our ...
IEEE

Incremental Linear Discriminant Analysis: A Fast Algorithm and Comparisons

Abstract: It has always been a challenging task to develop a fast and an efficient incremental linear discriminant analysis (ILDA) algorithm. For this purpose, we conduct a new study for linear ...
IEEE

A novel subspace LDA algorithm for recognition of face images with illumination and pose variations

Abstract: This paper addresses two LDA problems in face recognition. The first one is small sample size (S3) problem while the second is illumination and pose variations. To overcome the S3 problem, ...