Topology guaranteeing manifold reconstruction using distance function to noisy data.
Frédéric ChazalAndré LieutierPublished in: SCG (2006)
Keyphrases
- noisy data
- distance function
- intrinsic manifold
- high dimensional
- similarity search
- nearest neighbor
- knn
- euclidean distance
- metric space
- distance measure
- manifold learning
- missing data
- intrinsic dimensionality
- distance metric
- noise tolerant
- low dimensional
- high dimensionality
- noise free
- data points
- metric learning
- attribute weights
- learning from noisy data
- database
- k nearest neighbor
- input data
- feature space
- feature selection
- databases
- missing values
- triangle inequality
- training data