Source files for a book on Principal component analysis
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Updated
Jan 13, 2024 - TeX
Source files for a book on Principal component analysis
An introduction to matrix factorization and PCA and SVD.
In this project, I explore various machine learning techniques including Principal Component Analysis (PCA), Support Vector Machines (SVM), Artificial Neural Networks (ANN), and Sentiment Analysis in an effort to predict the directional changes in exchange rates for a list of developed and developing countries.
An R package for performing Principal Component Analysis-based Data Structure Comparisons (PCADSC)
Derivation of PCA (principal component analysis) by IASA students N. Fordui and O. Galganov.
Video Face Recognition System with Java and EigenFaces (Principal Component Analysis). Undergraduate thesis - Computer Science. Thiago C L da Silva.
Undergrad thesis
Classification on gene diseases using machine learning
PCA face recognition and detection in MATLAB
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