Effective Dimensionality Reduction for Visualizing Neural Dynamics by Laplacian Eigenmaps.
Guanghao SunShaomin ZhangY. ZhangKai XuQiaosheng ZhangTing ZhaoXiaoxiang ZhengPublished in: Neural Comput. (2019)
Keyphrases
- dimensionality reduction
- laplacian eigenmaps
- nonlinear dimensionality reduction
- neural dynamics
- manifold learning
- kernel pca
- high dimensional
- locally linear embedding
- feature extraction
- high dimensional data
- low dimensional
- pattern recognition
- high dimensionality
- principal component analysis
- semi supervised
- euclidean distance
- subspace learning
- dimensionality reduction methods
- machine learning