Keyphrases
- low dimensional
- high dimensional
- manifold learning
- euclidean space
- high dimensional data
- dimensionality reduction
- principal component analysis
- vector space
- dimension reduction
- data points
- feature space
- input space
- multidimensional scaling
- lower dimensional
- low dimensional spaces
- subspace learning
- similarity metrics
- nonlinear dimensionality reduction
- quality measures
- evaluation metrics
- latent space
- software quality
- euclidean distance
- semi supervised
- feature extraction
- manifold structure
- computer vision
- low dimensional manifolds
- linear dimensionality reduction
- machine learning