Local Convergence of the Alternating Least Squares Algorithm for Canonical Tensor Approximation.
André UschmajewPublished in: SIAM J. Matrix Anal. Appl. (2012)
Keyphrases
- learning algorithm
- iterative algorithms
- cost function
- convergence rate
- monte carlo
- alternating least squares
- k means
- matching algorithm
- nonnegative matrix factorization
- negative matrix factorization
- graph structure
- data representation
- directed graph
- clustering method
- dimensionality reduction
- worst case
- high dimensional
- similarity measure