A note on equidistant subspace codes.
Daniele BartoliFrancesco PavesePublished in: Discret. Appl. Math. (2016)
Keyphrases
- principal component analysis
- dimensionality reduction
- low dimensional
- subspace clustering
- error correction
- feature extraction
- error correcting
- subspace learning
- subspace clusters
- clustering high dimensional data
- linear subspace
- lower dimensional
- kernel based nonlinear
- high dimensional
- database
- high dimensional data
- subspace methods
- feature space
- logical operations
- principal components
- kernel function
- pattern recognition
- image processing