A cost-sensitive rotation forest algorithm for gene expression data classification.
Huijuan LuLei YangKe YanYu XueZhigang GaoPublished in: Neurocomputing (2017)
Keyphrases
- cost sensitive
- gene expression data
- classification algorithm
- cost sensitive classification
- high dimensionality
- support vector machine svm
- learning algorithm
- support vector machine
- pattern recognition
- feature space
- support vector
- binary classification
- machine learning
- classification accuracy
- multi class
- unsupervised learning
- feature vectors
- image segmentation
- misclassification costs
- boosting algorithms