Application of support vector machine modeling and graph theory metrics for disease classification.
Jessica M. RuddPublished in: Model. Assist. Stat. Appl. (2018)
Keyphrases
- graph theory
- support vector machine
- pattern recognition
- classification method
- decision boundary
- support vector machine svm
- svm classifier
- support vector
- svm classification
- computer vision and pattern recognition
- multi class
- automata theory
- machine learning
- high classification accuracy
- feature vectors
- training set
- graph theoretical
- classification algorithm
- feature extraction
- graph theoretic
- feature space
- training data
- combinatorial optimization
- feature selection
- graph based representations
- complex networks
- image classification
- classification accuracy
- decision trees
- genetic algorithm