Data Science, Machine Learning, Statistics, Artificial Intelligence.
cloud of data points to the subspace without losing information embedded in the original data with higher dimensions, so are looking for vector that maximizes the variation of the data. Assuming the original data is in d-dimensional space, the goal is to arrive at a new data points in p dimension