April 2018
Beginner to intermediate
282 pages
6h 52m
English
Dimensionality reduction methods reduce dimensionality by making new synthetic features from a combination of the original features. They are potent techniques and they preserve the variability of the data. One downside of these techniques is the difficulty in interpreting the attributes as they are prepared by combining elements of various attributes.