S-Isomap++: Multi manifold learning from streaming data.
Suchismit MahapatraVarun ChandolaPublished in: IEEE BigData (2017)
Keyphrases
- manifold learning
- streaming data
- data streams
- nonlinear dimensionality reduction
- concept drift
- sliding window
- laplacian eigenmaps
- dimension reduction
- manifold learning algorithm
- dimensionality reduction
- low dimensional
- semi supervised
- high dimensional
- feature mapping
- locally linear embedding
- subspace learning
- feature extraction
- high dimensional data
- nonlinear dimension reduction
- anomaly detection
- data distribution
- sparse representation
- geodesic distance
- manifold structure
- feature space
- database
- non stationary
- multi dimensional
- dimensionality reduction methods
- principal component analysis
- feature vectors
- pattern recognition
- clustering algorithm
- data sets