Algorithm: Principal Component Analysis (PCA) in High-Dimensional Data

The data preprocessing as standarlization or feature Scaling:

https://en.wikipedia.org/wiki/Feature_scaling

Before carrying out Principal Component Analysis (PCA), it is necessary to perform some data preprocessing. In this evaluation task, a portion will be assigned to you while the rest will be handled by us. Nevertheless, when tackling real-world challenges, completing all these steps is essential for your own involvement.

The preprocessing steps we will do are

Transform the uint8 encoding of pixels into a floating-point value within the range of 0 to 1. Normalize each image by subtra