Structure constrained nonnegative matrix factorization for pattern clustering and classification.
Na LuHongyu MiaoPublished in: Neurocomputing (2016)
Keyphrases
- nonnegative matrix factorization
- nonnegative matrix
- probabilistic latent semantic indexing
- spectral clustering
- matrix factorization
- data representation
- negative matrix factorization
- pattern recognition
- document clustering
- clustering algorithm
- unsupervised learning
- least squares
- clustering method
- k means
- principal component analysis
- support vector
- feature extraction
- semi supervised clustering
- feature space
- data clustering
- data sets
- support vector machine
- image classification
- text classification
- feature vectors
- training set
- image sequences
- matrix factorisation
- dictionary learning
- original data
- cluster analysis
- signal processing
- face recognition
- feature selection
- machine learning