Supervised input space scaling for non-negative matrix factorization.
Joris DriesenHugo Van hammePublished in: Signal Process. (2012)
Keyphrases
- input space
- negative matrix factorization
- dimensionality reduction
- principal component analysis
- sparse representation
- feature space
- input data
- matrix factorization
- document clustering
- kernel function
- supervised learning
- training set
- low dimensional
- unsupervised learning
- high dimensional
- semi supervised
- high dimensional data
- feature selection
- k nearest neighbor
- data points
- knn
- spectral clustering
- output space
- support vector machine
- support vector
- training data
- machine learning
- kernel matrix
- image representation
- natural language processing
- object recognition
- similarity measure
- neural network