Manifold Learning in Data Mining Tasks.
Alexander P. KuleshovAlexander V. BernsteinPublished in: MLDM (2014)
Keyphrases
- data mining tasks
- manifold learning
- data mining
- low dimensional
- data mining algorithms
- dimensionality reduction
- data mining applications
- nonlinear dimensionality reduction
- semi supervised
- knowledge discovery
- high dimensional
- diffusion maps
- laplacian eigenmaps
- sparse representation
- dimension reduction
- feature extraction
- subspace learning
- high dimensional data
- head pose estimation
- manifold structure
- preprocessing
- computer vision
- low dimensional manifolds
- neural network
- association rules
- feature space
- pattern recognition
- geodesic distance