Identification of Clinically Meaningful Plasma Transfusion Subgroups Using Unsupervised Random Forest Clustering.
Che NguforMatthew A. WarnerDennis MurphreeHongfang LiuRickey E. CarterCurtis B. StorlieDaryl J. KorPublished in: AMIA (2017)
Keyphrases
- random forest
- unsupervised learning
- feature importance
- random forests
- decision trees
- clustering algorithm
- feature set
- fold cross validation
- semi supervised
- decision tree learning algorithms
- rotation forest
- ensemble learning
- ensemble methods
- multi label
- base classifiers
- k means
- supervised learning
- machine learning
- text categorization
- active learning
- bayesian networks
- similarity measure
- feature extraction
- face recognition
- data sets