UoI-NMF Cluster: A Robust Nonnegative Matrix Factorization Algorithm for Improved Parts-Based Decomposition and Reconstruction of Noisy Data.
Shashanka UbaruKesheng WuKristofer E. BouchardPublished in: ICMLA (2017)
Keyphrases
- noisy data
- nonnegative matrix
- nonnegative matrix factorization
- negative matrix factorization
- missing data
- sparsity constraints
- missing values
- high dimensional
- noise free
- matrix factorization
- input data
- learning from noisy data
- noise tolerant
- computer vision
- clustering algorithm
- principal component analysis
- neural network
- machine learning
- data representation
- training data
- spectral clustering
- data clustering
- database
- pairwise
- collaborative filtering