Feature Extraction from Facial Images Using Classical PCA Methodology
Implementing Classical Principal Component Analysis for Facial Feature Extraction with Code Implementation Details
MATLAB Implementation of Locally Linear Embedding (LLE) Algorithm
MATLAB code implementation of the Locally Linear Embedding algorithm with detailed technical explanations
A Manifold Learning Toolbox: Implementation of Nonlinear Dimensionality Reduction Algorithms
A MATLAB-based manifold learning toolbox providing implementations of classic algorithms for nonlinear dimensionality reduction and data visualization, with code examples and parameter tuning guidance.
MATLAB Implementation of LDA (Latent Dirichlet Allocation) Algorithm
MATLAB code implementation of LDA for topic modeling, featuring Gibbs sampling and text mining applications with data preprocessing and visualization tools.
PCA-Based Image Classification Method with Implementation Insights
PCA Method for Image Classification - A Dimensionality Reduction Technique for Efficient Visual Pattern Recognition
FAST Independent Component Analysis
FASTICA Algorithm Implementation for Signal Processing
Spectral Feature Selection for Near-Infrared Spectroscopy Processing
Techniques and Algorithms for Feature Wavelength Selection in NIR Spectroscopy Data Analysis
MATLAB Implementation of Dimensionality Reduction Using PCA and LDA
MATLAB code implementation for dimensionality reduction with PCA (Principal Component Analysis) and LDA (Linear Discriminant Analysis), including integration with KNN classification for pattern recognition applications.
Implementation and Demonstration Code for Principal Component Analysis Algorithm Using MATLAB
MATLAB program for calculating and demonstrating the Principal Component Analysis algorithm with comprehensive code implementation details and visualization techniques.