Multiple k-Means Clustering Based Locally Low-Rank Approach to Nonlinear Matrix Completion.
Katsumi KonishiTomoki ShiseRyohei SasakiToshihiro FurukawaPublished in: EUSIPCO (2019)
Keyphrases
- matrix completion
- low rank
- matrix factorization
- missing data
- convex optimization
- linear combination
- high order
- rank minimization
- low rank matrix
- singular value decomposition
- k means
- semi supervised
- trace norm
- kernel matrix
- singular values
- high dimensional data
- collaborative filtering
- incomplete data
- low rank matrices
- norm minimization
- rank aggregation
- minimization problems
- low rank approximation
- higher order
- least squares
- clustering algorithm
- nuclear norm
- image processing