Visual Studio Magazine

Principal Component Analysis (PCA) from Scratch Using the Classical Technique with C#

Transforming a dataset into one with fewer columns is more complicated than it might seem, explains Dr. James McCaffrey of Microsoft Research in this full-code, step-by-step machine learning tutorial.
GitHub

PCA-Based Object Motion Detection and Dimensionality Reduction in MATLAB Using Background Subtraction (SVD/PCA) and Clustering

Principal Component Analysis (PCA) refers to a mathematical method that is used to find correlations among data in an over/under determined system subject to constraints via Singular Value ...
Analytics India Magazine

Detecting Orientation of Objects in Image using PCA and OpenCV

The Principal Component Analysis is a popular unsupervised learning algorithm that is widely known for dimensionality reduction. It increases the interpretability and also reduces the loss of ...
Visual Studio Magazine

Anomaly Detection Using Principal Component Analysis (PCA)

A good way to see where this article is headed is to take a look at the screen shot of a demo program shown in Figure 1. The demo sets up a dummy dataset of six items: [ 5.1 3.5 1.4 0.2] [ 5.4 3.9 1.7 ...