Studying the relationship between linear discriminant analysis (LDA) and least squares regression (LSR) is of great theoretical and practical significance. It is well-known that the two-class LDA is ...

Linear discriminant analysis (LDA) is a widely used technique for supervised feature extraction and dimensionality reduction. LDA determines an optimal discriminant space for linear data projection ...

Several Iowa businesses and health plans are suing to block a new state law regulating pharmacy benefit managers, arguing it violates federal law and the Constitution, Iowa Capital Dispatch ...

As blockchain expands its reach across different industries, Gunjan Bhardwaj examines some of its practical applications in the pharma industry.

Now scientists are exploring how to harness blockchain power to transform the lives of cancer patients and their families and carers.

This repository contains a MATLAB-based Machine Learning Software (MLS) offers advanced biomedical signal processing with an intuitive GUI for analyzing EEG, ECG, and EMG. Features include noise ...

Decision tree and linear discrimination analysis (LDA) algorithms were employed as core design tools to identify the most effective sensing units, enabling the development of a streamlined N-acetyl- l ...

DA incorporates the commonly used linear and non-linear, local and global supervised learning approaches (discriminant analysis). These discriminant analyses can be used to do ecological and ...