A Review of Various Dimension Reduction Methods

Data analysis and prediction become an indispensable part of many fields. However, the data with high dimensionality may cause problems, such as memory waste, or data loss while processing. In this case, dimension reduction is necessary for data processing. In this paper, a number of different dimension reduction methods have been discussed, including the theoretical background and simple examples of how they perform.