Principal Component, Unsupervised Learning, Dimensionality Reduction, Interview Questions, Machine Learning.
is a statistical technique for reducing the dimensionality of a dataset. This is accomplished by linearly transforming the data into a new coordinate system where (most of) the variation in the data can be described with fewer dimensions than the initial data. (D) PCA reduces the dimensionality of