Python, Machine Learning, Data Science, Dimensionality Reduction, Towards Data Science.
to use Principal Component Analysis (PCA) to reduce the dimensions of the HSI. Principal Component Analysis(PCA) PCA is a linear unsupervised dimensionality reduction technique that can be described as an eigen decomposition of the covariance matrix of the data. It increases the interpretability by