Principal Component, Data Science, Dimensionality Reduction, Machine Learning.
accepted. PCA operates on the principles of signal representation, with the primary aim of the feature extraction transformation being to represent attribute vectors in a lower-dimensional space accurately. These components represent the data points in a more concise manner, leading to a compressed