GitHub

Probabilistic PCA (PPCA) with missing-data support — fast C++ core, clean Python API.

ppca-cpp implements Probabilistic Principal Component Analysis (PPCA) as described by Tipping & Bishop (1999), with a focus on speed, usability, and robust handling of missing data. The core is ...
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 ...
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 ...
Hosted on MSN

High Dimensional Visualization Using PCA with Scikit-Learn

Simplify complex datasets using Principal Component Analysis (PCA) in Python. Great for dimensionality reduction and visualization. New Poll Reveals Trump’s Approval Rating The Cybertruck's First Real ...