Principal Component Analysis-based Multivariate Outlier Detection
The dataset consists of three columns x,y,z.
This project aims to detect outliers in a multivariate dataset using principal component analysis(PCA) and other statistical methods.
Refer to requirements.txt for the full list of packages and their corresponding versions used in this project.