Dimensionality Reduction and Reconstruction of Data Based on Autoencoder Network
基于Autoencoder网络的数据降维和重构

The curse of dimensionality is a central difficulty in many fields such as machine learning,pattern recognition and data mining etc.The dimensionality reduction method of characteristic data is one of the current research hotspots in data-driven calculation methods,which high-dimensional data is mapped into a low-dimensional space.In this paper,a special nonlinear dimensionality reduction method called "Autoencoder" is introduced,which uses Continuous Restricted Boltzmann Machine(CRBM) and converts high-dim...