A joint sparse clustering and classification approach with applications to hospitalization prediction.
Tingting XuTheodora S. BrisimiTaiyao WangWuyang DaiIoannis Ch. PaschalidisPublished in: CDC (2016)
Keyphrases
- prediction accuracy
- unsupervised learning
- supervised classification
- unsupervised classification
- automatic classification
- classification scheme
- clustering method
- pattern recognition
- nearest neighbour algorithm
- supervised learning
- support vector machine
- classification accuracy
- clustering analysis
- unsupervised clustering
- high dimensional
- predictive modeling
- support vector
- feature extraction
- decision trees
- sparse data
- multi layer perceptron
- neural networks and support vector machines
- class labels
- sparse coding
- machine learning
- clustering algorithm
- feature space
- feature vectors
- k means
- pattern classification
- image classification
- training samples
- soft assignment
- high dimension
- training set
- dictionary learning
- benchmark datasets
- neural network
- cluster analysis
- categorical data
- prediction error
- density estimation
- high dimensionality