Hyperplane-based nonnegative matrix factorization with label information.
Xinjun PengDe ChenDong XuPublished in: Inf. Sci. (2019)
Keyphrases
- nonnegative matrix factorization
- hyperplane
- label information
- dimensionality reduction
- semi supervised
- data representation
- data points
- principal component analysis
- input space
- principal components
- feature space
- labeled data
- distance metric
- negative matrix factorization
- training data
- unlabeled data
- class labels
- support vector
- least squares
- matrix factorization
- training samples
- semi supervised learning
- high dimensional
- spectral clustering
- low dimensional
- support vector machine
- transfer learning
- svm classifier
- geometric structure
- high dimensional data
- convex hull
- feature extraction
- unsupervised learning
- document clustering
- feature vectors
- sparse representation
- data sets
- supervised learning
- kernel function
- feature selection
- metric learning
- euclidean distance
- learning algorithm
- objective function
- active learning
- distance function
- image representation
- face images