Fast Euclidean OPTICS with Bounded Precision in Low Dimensional Space.
Junhao GanYufei TaoPublished in: SIGMOD Conference (2018)
Keyphrases
- neural network
- low dimensional
- euclidean space
- high dimensional
- high dimensional data
- data points
- input space
- higher dimensional
- dimensionality reduction
- lower dimensional
- dimension reduction
- principal component analysis
- manifold learning
- vector space
- pattern recognition
- feature space
- embedding space
- subspace learning
- high precision
- nonlinear dimensionality reduction
- linear subspace
- nearest neighbor
- euclidean distance
- parameter space
- multidimensional scaling
- finite dimensional
- pose space
- data sets
- high dimensional spaces
- riemannian manifolds
- manifold structure
- machine vision
- graph embedding
- low dimensional spaces