Manifold Learning and Research of Algorithm

Manifold learning is a branch of differential geometry,it will find embedded in high dimensional data in low dimensional manifold structure,which most of the algorithms are also used for dimensionality reduction,and some are also used for data visualization.Currently,Manifold learning gradually becomes a hotspot in the field of machine learning and pattern recognition.First,described the basic concepts of the manifold and manifold learning,then discussed the respective characteristics of manifold learning algorithms and analysed their shortcomings.You can use these algorithms better for data analysis and dimensionality reduction in the future of Manifold learning study.