Unsupervised learning with GLRM feature selection reveals novel traumatic brain injury phenotypes.
Aaron J. MasinoKaitlin A. FolweilerPublished in: CoRR (2018)
Keyphrases
- unsupervised learning
- feature selection
- traumatic brain injury
- microarray data
- ct images
- dimensionality reduction
- cluster analysis
- supervised learning
- text classification
- vital signs
- model selection
- semi supervised
- expectation maximization
- machine learning
- data mining
- pattern recognition
- text categorization
- feature set
- healthy controls
- gene expression
- support vector
- support vector machine
- monitoring system
- medical imaging
- data analysis
- feature extraction
- feature subset
- white matter
- data sets
- medical images