Principal Component Analysis (PCA), Part-3: Python Coding Example-2

PCA can be applied to any numerical dataset to compute its corresponding principal components. In this lecturem as an example, we will: 1) Apply PCA to a satellite image dataset, generate the first three principal components, and display them as a color composite image. 2) Display PCA-related information, including the explained variance ratio and cumulative variance. By the end of this example, you will have a clear understanding of how to calculate and interpret principal components.