说明：  LDA降维是常用的降维手段之一，其本质假设为数据的高斯分布。是有效常用的有监督学习降维工具。
(LDA dimension reduction is one of the commonly used dimensionality reduction methods, and its essence is assumed to be the Gauss distribution of data. It is an effective and commonly supervised learning dimensionality reduction tool.)