Unsupervised Learning, Supervised Learning, Machine Learning, Artificial Intelligence.
statistically sound and reliable result. When dimensionality increases, the amount of data needed to support your result grows exponentially. Dimension reduction methods like PCA work for data points observed in high-dimensional spaces because it reduces the number of variables in a dataset while