The Linear Discriminant Analysis (also known as LDA, or Fisher's (Multiple) Linear Discriminant Analysis) sample applications demonstrates how to use Accord.NET to perform linear transformations and classification. The sample datasets which can be used in the application are available under the Resources folder in the main directory of the application.

The same downloadable files also contains the code and the sample application for Non-linear Kernel Discriminant Analysis (KDA), which is an FDA extension to perform non-linear dimensionality reduction and classification using the kernel trick.

Please check the detailed explanation for Linear Discriminant Analysis and Kernel Discriminant Analysis for more information.

Linear projection using Linear Discriminant Analysis

The source code also contains only a small subset of the Accord.NET Framework necessary to support LDA. Please note that the code for both LDA and KDA may be included in the downloadable archives below. You are, however, highly encouraged to download the complete framework in order to obtain the latest version of this code.