Keyphrases
- low dimensional
- high dimensional
- manifold learning
- dimensionality reduction
- high dimensional data
- euclidean space
- principal component analysis
- vector space
- data points
- feature space
- dimension reduction
- lower dimensional
- low dimensional spaces
- input space
- evaluation metrics
- multidimensional scaling
- latent space
- nonlinear dimensionality reduction
- neural network
- subspace learning
- high dimensional spaces
- manifold structure
- graph embedding
- linear dimensionality reduction
- quality metrics