23 results

Implemenatation of LDA in MATLAB for dimensionality reduction and linear feature extraction

Performs linear discriminant analysis.

this function converts data from its original space to LDA space.

This code used to explain the LDA and QDA classifiers and also it includes a tutorial examples

Discriminant Analysis via Support Vectors codes

compute the supervised NPE(neighborhood preserving embedding) subspace for dimension reduction.

Free pattern recognition toolbox for MATLAB

Useful functions for face recognition research.

This code used to learn and explain the code of LDA to apply this code in many applications.

find the discriminative susbspace for samples using fisher linear dicriminant analysis

The Classification toolbox for MATLAB is a collection of modules for calculating classification (supervised pattern recognition) models

A MATLAB toolbox for supervised linear dimension reduction (SLDR) including LDA, HLDA, PLSDA, MMDA, HMMDA and SDA

Randomly splitting Face (Image) Dataset into training and testing sets

A comparision of 2DLDA and LDA

This program analyzes an arff file (weka)

Does latent dirichlet allocation

The codes implement the Uncorrelated Multilinear Discriminant Analysis (UMLDA) algorithm.

Apply linear discriminant analysis

Linear discriminant analysis when the data dimensionality is high and sample size is much smaller

An LDA topic modeling of movie reviews of the marvel's latest hit, Dr. Strange.

Provides scripts for testing the two algorithms as well as testing real time input.

Implementation of LDA, Direct LDA and PCA+LDA. See description for details.

Linear Discriminent Analysis by using the example of a flower.