Dimensional reduction algorithm using feature selection and matrix decomposition.
Dawit YongYaeeun LeeHyunki LimPublished in: ICTC (2022)
Keyphrases
- matrix decomposition
- feature selection
- low rank
- nonnegative matrix factorization
- low rank matrix
- machine learning
- singular values
- low rank approximation
- singular value decomposition
- gene expression data
- missing data
- support vector
- linear combination
- feature extraction
- text classification
- feature set
- feature space
- data matrix
- data summarization
- matrix factorization
- latent structure
- semi supervised
- kernel matrix
- sparse matrix
- support vector machine
- data representation
- dimensionality reduction
- image segmentation
- high order
- high dimensional data