In statistics, Isomap is one of several widely used low-dimensional embedding methods, where geodesic distances on a weighted graph are incorporated with the classical scaling (metric multidimensional scaling). Isomap is used for computing a quasi-is

半监督鉴别分析是一种很流行的算法，它利用了现实世界的大量的无标记的数据，并对它们分类-Semi-Supervised Discriminant Analysis (Graph Embedding Way)

ISOMAP算法，其中做了部分修改。算法采用K近邻图计算测地距离的方法，最后进行低维嵌入-ISOMAP algorithm, which made some modification.Algorithm of geodesic distance is obtained by using the K neighbor graph method, finally to low dimensional embedding

KGE: Kernel Graph Embedding

一组关于图正则的低秩嵌入算法的数值解法，可直接使用。