A Breast Cancer Diagnosis Method Based on VIM Feature Selection and Hierarchical Clustering Random Forest Algorithm.
Zexian HuangDaqi ChenPublished in: IEEE Access (2022)
Keyphrases
- hierarchical clustering
- clustering method
- k means
- hierarchical clustering algorithm
- random forest
- breast cancer diagnosis
- feature set
- optimization method
- learning algorithm
- similarity measure
- support vector machine svm
- pairwise
- feature selection
- hierarchical clustering algorithms
- classification accuracy
- decision trees
- ensemble classifier
- feature extraction
- unsupervised learning
- cluster analysis
- data clustering
- supervised learning
- nearest neighbor