Non-negative matrix factorization by maximizing correntropy for cancer clustering.
Jim Jing-Yan WangXiaolei WangXin GaoPublished in: BMC Bioinform. (2013)
Keyphrases
- negative matrix factorization
- document clustering
- nonnegative matrix factorization
- spectral clustering
- sparse representation
- clustering algorithm
- k means
- clustering method
- matrix factorization
- probabilistic latent semantic analysis
- tensor factorization
- unsupervised feature selection
- data clustering
- constrained least squares
- document collections
- text documents
- high dimensional data
- unsupervised learning
- low dimensional
- signal processing
- text mining
- principal component analysis
- collaborative filtering
- data points
- computer vision
- data mining
- data sets