This project demonstrates the application of machine learning (ML) techniques and Principal Component Analysis (PCA) for facial recognition using the Labeled Faces in the Wild (LFW) dataset. The ...

Anomaly Detection Using Principal Component Analysis (PCA) The main advantage of using PCA for anomaly detection, ... The demo program has no significant dependencies so any relatively recent version ...

The purpose of this repository is to provide a complete and simplified explanation of Principal Component Analysis, and especially to answer how it works step by step, so that everyone can understand ...

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 ...

Starting with the essential statistical and data analysis fundamentals using Python, you’ll perform complex data analysis and modeling, data ... Principal Component Analysis (PCA), and clustering. In ...

This article assumes you have an intermediate or better familiarity with a C-family programming language but doesn't assume you know anything about principal component analysis. The demo program is ...