A. Labdaoui

Comparative evaluation of linear and nonlinear dimensionality reduction techniques for breast cancer diagnosis

Dimensionality reduction plays a crucial role in improving the interpretability and structural visualization of machine learning configurations applied to high-dimensional biomedical data. This study presents an exploratory comparative evaluation of four widely used techniques: Principal Component Analysis (PCA), t-Dis...