Texture feature dimensionality reduction-based mammography classification using Random Forest.
Xuejun ZhangSusu ZhangZhaohui BuLiangdi MaJu HuangPublished in: J. Comput. Methods Sci. Eng. (2023)
Keyphrases
- random forest
- feature set
- texture features
- feature extraction
- decision trees
- dimensionality reduction
- fold cross validation
- random forests
- feature vectors
- feature selection
- texture feature extraction
- feature space
- classification accuracy
- decision tree learning algorithms
- high dimensionality
- pattern recognition
- ensemble classifier
- texture analysis
- image classification
- textural features
- support vector machine svm
- classification models
- ensemble methods
- cost sensitive
- face recognition
- similarity measure
- training data
- gabor filters
- supervised learning
- linear discriminant analysis
- benchmark datasets
- texture classification
- support vector machine
- training set
- machine learning methods
- relevance feedback
- svm classifier
- k nearest neighbor
- distance measure