Simple GUI to load, preview, perform PCA and save spectral data from Hyperspectral images
Matlab files for data analytics methods
2023 NCKU Image Processing Homework Code
Hyper Spectral Image Classification using Machine Learning Methods
This repository is a comprehensive archive of projects and assignments undertaken for the Pattern Recognition course (TIP8311) at the Federal University of Ceará as part of my Master's curriculum.
It performs principal component analysis (PCA) on a three dimensional normal random vector with covariance matrix specified by the user. It plots data, central ellipsoid, and the projections on the three central planes. For didactic purposes. GNU Octave.
MIT xPRO Data Science Course Case Study for Face Recognition
A facial recognition system in MATLAB that uses the Eigenfaces and PCA techniques to recognize faces.
A survey between data reduction techniques for Image Recognition
Generates eigenfaces through PCA analysis
Clustering and Dimensionality Reduction using k-mean and PCA.
Codes des TPs de l'UV de Machine Learning de l'EINA
PCA for face recognition in MATLAB
This repo leads us to implement the K-means clustering algorithm and apply it to compress an image. And use principal component analysis to find a low-dimensional representation of face images.
FaceFinder is an face recognition security check app coded in Matlab. It can solve the issue of security check just in seconds. It identifies the particular person is allowed or not allowed for a particular thing or task. This can be used as an Visual Attendance system where student identification and recognition is achieved through face recogni…
MATLAB implementation of "Finte Sample Guarantees for PCA in non-isotropic and data-dependent noise", Allerton, 2017 and ISIT, 2018.
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