Semi-supervised Nonnegative Matrix Factorization for Document Classification.
Jamie HaddockLara KassabSixian LiAlona KryshchenkoRachel GrotheerElena SizikovaChuntian WangThomas MerkhR. W. M. A. MadushaniMiju AhnDeanna NeedellKathryn LeonardPublished in: ACSCC (2021)
Keyphrases
- document classification
- nonnegative matrix factorization
- semi supervised
- semi supervised learning
- text categorization
- unlabeled data
- text documents
- negative matrix factorization
- text mining
- supervised learning
- labeled data
- text classification
- data representation
- active learning
- pairwise
- matrix factorization
- classification algorithm
- web documents
- document clustering
- unsupervised learning
- spectral clustering
- least squares
- generative model
- neural network
- databases
- object recognition
- original data
- clustering method
- high dimensional
- objective function
- data mining
- knowledge discovery