projectR: an R/Bioconductor package for transfer learning via PCA, NMF, correlation and clustering.
Gaurav SharmaCarlo ColantuoniLoyal A. GoffElana J. FertigGenevieve L. Stein-O'BrienPublished in: Bioinform. (2020)
Keyphrases
- transfer learning
- negative matrix factorization
- nonnegative matrix factorization
- document clustering
- principal component analysis
- k means
- knowledge transfer
- learning tasks
- machine learning
- spectral clustering
- reinforcement learning
- cross domain
- clustering algorithm
- active learning
- semi supervised learning
- collaborative filtering
- manifold alignment
- clustering method
- learning algorithm
- text mining
- transfer knowledge
- labeled data
- probabilistic latent semantic analysis
- machine learning algorithms
- matrix factorization
- high dimensional data
- data points
- semi supervised
- feature extraction
- target domain
- face recognition
- multi task
- dimensionality reduction
- support vector machine
- text categorization
- unlabeled data
- transferring knowledge
- data sets
- e learning
- information retrieval
- cross domain learning
- similarity measure
- pairwise
- sparse representation
- supervised learning
- natural language processing
- maximum likelihood