On the Finite Dimensionality of Closed Subspaces in Lp(M, dμ) ∩ Lq(M, dν).
Alexander A. BalinskyAnatolij K. PrykarpatskiPublished in: Axioms (2021)
Keyphrases
- arbitrarily oriented
- high dimensional
- lower dimensional
- linear programming
- feature space
- high dimensional data
- linear program
- dimensionality reduction
- high dimensional data space
- correlation clustering
- low dimensional
- high dimensionality
- principal component analysis
- order tensor
- parameter space
- high dimensional feature space
- finite number
- reduced dimensionality
- subspace clusters
- original data
- optimal control
- np hard
- objective function
- subspace clustering
- integer programming
- data sets
- data points
- canonical correlations
- lower bound
- pattern recognition