GitHub

A Python implementation of Principal Component Analysis (PCA) based pansharpening for enhancing multispectral Satellite Imagery using high-resolution panchromatic data.

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 ...
GitHub

ThomaxMerlin/Breast-Cancer-Classification-using-PCA-and-K-Nearest-Neighbors-KNN-With-Jupyter-Notebook

This Jupyter Notebook demonstrates how to perform breast cancer classification using Principal Component Analysis (PCA) for dimensionality reduction and K-Nearest Neighbors (KNN) for classification.
IEEE

Python Based Face Recognition for Person Identification Using PCA and 2DPCA Techniques

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 ...