应用主成分分析将数十维数据压缩，得到主成分，根据主成分得分给案例排序，得到案例 的得分排序，从而得到评价结果。-Principal component analysis of dozens dimensional data compression, get the main ingredients, according to the principal component scores to sort the case to give the case to score the sort to

通过对曲率压缩法的改进 实现电云的压缩 并显示压缩后的点云数据-By compressing method improvement curvature point cloud compression and display the point cloud data compressed

该压缩文件为部分数据降维方法，有LTSA、HHLLE、ISOMAP、LLTSA、LLP-The compressed file for the partial data dimensionality reduction method, there are LTSA, HHLLE, ISOMAP, LLTSA, LLP

KNN算法的实现,压缩包里包含了数据和代码的实现，pthon2位基础(THE ACHIEVEMENT OF KNN)