Machine Learning, Principal Component, Artificial Intelligence, Unsupervised Learning, Pca Analysis.
components are designed in such a way that they maximize the variance of the dataset, thereby retaining as much information as possible. PC1 = ϕ11 X1 + ϕ21 X2 + … + ϕp1 Xp The equation above represents the first principal component (PC1). Each original feature (X1, X2, …, Xp) is multiplied by a