High dimensional classifiers in the imbalanced case.
Britta Anker BakJens Ledet JensenPublished in: Comput. Stat. Data Anal. (2016)
Keyphrases
- high dimensional
- class imbalanced
- binary classification problems
- imbalanced data
- decision trees
- training data
- imbalanced data sets
- low dimensional
- machine learning algorithms
- data sets
- small sample
- similarity search
- svm classifier
- majority voting
- sparse data
- linear classifiers
- gene expression data
- classification algorithm
- high dimensional data
- nearest neighbor
- feature space
- feature selection