Unsupervised Emitter Clustering through Deep Manifold Learning.
James StankowiczScott KuzdebaPublished in: CCWC (2021)
Keyphrases
- manifold learning
- semi supervised
- unsupervised learning
- discriminant projection
- dimensionality reduction
- locality preserving
- high dimensional data
- low dimensional
- diffusion maps
- dimension reduction
- nonlinear dimensionality reduction
- high dimensional
- subspace learning
- clustering algorithm
- intrinsic manifold
- data points
- clustering method
- laplacian eigenmaps
- k means
- semi supervised learning
- cluster analysis
- data clustering
- manifold structure
- supervised learning
- sparse representation
- self organizing maps
- head pose estimation
- machine learning
- nonlinear manifold
- neural network
- pairwise
- nearest neighbor
- preprocessing
- high dimensionality
- least squares
- low dimensional manifolds
- data analysis
- face recognition
- decision trees
- labeled data