Risk Prediction of Esophageal Cancer Using SOM Clustering, SVM and GA-SVM.
Yuli YangZhi LiYanfeng WangPublished in: BIC-TA (2) (2019)
Keyphrases
- support vector machine svm
- support vector
- self organizing maps
- support vector machine
- unsupervised learning
- svm classifier
- multi class
- k means
- feature vectors
- knn
- multi class classification
- clustering algorithm
- genetic algorithm
- training data
- feature selection
- gene selection
- kernel function
- training set
- cluster analysis
- genetic algorithm ga
- neural network
- classification algorithm
- clustering method
- generalization ability
- high dimensional
- radial basis function
- svm classification
- kernel methods
- gene expression profiles
- data sets
- neural gas
- prediction accuracy
- k nearest neighbor
- supervised learning
- evolutionary algorithm
- feature space
- pattern recognition
- learning algorithm