P

pca

This thesis addresses the challenges of modernizing Germany's power grid, quantifying risks posed by renewable energy in terms of grid stability. Stability measures are defined. Variability is quantified by fitting Gaussian Mixture Models (GMM) Principal on the Component Analysis (PCA) which is used for dimensionality reduction. Using MCMC techniques find low-probability patterns linked to blackouts and desynchronization.

Moved to https://github.com/sandialabs/xpca

[Uc3m] Wait a minute... Who are you?

spectrum data processing via principle component analysis ie: pca on a static client side http web application utilizing vuejs and firebase.

datasets collected via nanoLambda apollo sensor

2016

C++ class for principal component analysis

Simple Facial recognition with PCA from scratch (c++ and python). Academic Project

Tensorflow repo stores some machine learning algorithms developed in Go