Data Science, Machine Learning, Pca, Big Data, Principal Component.
dataset, we can construct up to d distinct principal components. But how many principal components do we need? Choosing the right number of principal components is essential to ensure that PCA is effective. A dataset containing n observations and d features accounts for min(n − 1, d) distinct