A non-negative multilinear block tensor decomposition approach to flow cytometry data analysis.
David BrieSebastian MironPhilippe BecuweStephanie GrandemangePublished in: MLSP (2014)
Keyphrases
- tensor decomposition
- flow cytometry
- data analysis
- tensor factorization
- clinical setting
- high throughput
- data representation
- matrix factorization
- high order
- auxiliary information
- negative matrix factorization
- collaborative filtering
- tensor analysis
- data collection
- gaussian processes
- data processing
- tag recommendation
- singular value decomposition
- visual data
- machine learning
- low rank
- data mining
- link prediction
- probabilistic latent semantic analysis
- high dimensional data
- dimensionality reduction
- nonnegative matrix factorization
- linear algebra
- kl divergence
- microarray
- text mining
- image data
- domain knowledge