This project implements a pansharpening algorithm that uses Principal Component Analysis (PCA) to fuse low-resolution multispectral images with high-resolution panchromatic images. The result is a ...

This project demonstrates how Principal Component Analysis (PCA) can be used to extract essential features from the breast cancer dataset and reduce its dimensionality. Logistic regression is then ...

Abstract: In this paper we proposed a face recognition techniques based on Principal component analysis and two Dimension Principal Component Analysis using python. Many researcher’s use Matlab ...