Versatile Sparse Matrix Factorization and Its Applications in High-Dimensional Biological Data Analysis.
Yifeng LiAlioune NgomPublished in: PRIB (2013)
Keyphrases
- matrix factorization
- high dimensional
- data analysis
- high dimensional data
- collaborative filtering
- tensor factorization
- low rank
- recommender systems
- low dimensional
- missing data
- dimensionality reduction
- factorization methods
- high dimensionality
- negative matrix factorization
- data matrix
- latent factors
- data sparsity
- low rank matrix
- nonnegative matrix factorization
- simultaneous clustering
- data mining
- sparse non negative
- factor analysis
- feature space
- stochastic gradient descent
- factorization method
- variational bayesian
- machine learning
- sparse coding
- implicit feedback
- kernel function
- text mining
- nearest neighbor
- data points
- pairwise
- signal processing
- item recommendation
- probabilistic matrix factorization