A subspace based subspace inclusion graph on vector space.
Mohammad AshrafMohit KumarGhulam MohammadPublished in: Contributions Discret. Math. (2020)
Keyphrases
- vector space
- low dimensional
- covariance matrices
- high dimensional
- principal component analysis
- euclidean space
- vector space model
- feature space
- high dimensional data
- retrieval model
- dimensionality reduction
- manifold learning
- finite dimensional
- data points
- latent semantic indexing
- similarity search
- feature vectors
- higher dimensional
- database
- concept space
- language model
- database systems
- machine learning
- databases