Handwriting Recognition using Kernel Discriminant Analysis. Demonstration of handwritten digit recognition using Kernel Discriminant Analysis and the Optical Recognition of Handwritten Digits Data Set from the UCI Machine Learning Repository.

Dimensionality reduction is one of the important preprocessing steps to handle high-dimensional data. Linear discriminant analysis (LDA) is a classical and popular approach for this purpose. LDA finds an optimal linear transformation, which max

Weighted acceleration, Acquisition and Processing of the speech signal, digital signal processing class-based, Pattern Recognition bayes discriminant analysis algorithm.