On Clustering and Embedding Mixture Manifolds Using a Low Rank Neighborhood Approach.
Arun M. SaranathanMario ParentePublished in: IEEE Trans. Geosci. Remote. Sens. (2019)
Keyphrases
- low rank
- high dimensional data
- nonlinear dimensionality reduction
- convex optimization
- matrix factorization
- matrix completion
- low dimensional
- missing data
- manifold structure
- manifold learning
- low rank matrix
- rank minimization
- singular value decomposition
- linear combination
- semi supervised
- matrix decomposition
- high dimensional
- clustering method
- clustering algorithm
- singular values
- data sets
- kernel matrix
- data analysis
- vector space
- high order
- k means
- latent space
- dimensionality reduction
- small number
- data points
- data matrix
- multidimensional scaling
- low rank matrices
- data clustering
- geodesic distance
- subspace clustering
- euclidean space
- unsupervised learning
- expectation maximization
- active learning
- data mining