Some methods of data processing

①Interpolation fitting

Function: Mainly used for data completion and analysis of basic trends

② Wavelet analysis, cluster analysis (Gaussian mixture clustering, K-means clustering, etc.)

Function: Diagnose data outliers and eliminate them

③ Principal component analysis, linear discriminant analysis, local preserving projection, etc.

Function: Used for dimensionality reduction processing of multi-dimensional data (for example, a two-dimensional data, I only want one dimension or part of it now)

④ Statistical methods such as mean, analysis of variance, analysis of covariance, etc.

Function: Data interception or feature selection.