Improved shrunken centroid classifiers for high-dimensional class-imbalanced data.
Rok BlagusLara LusaPublished in: BMC Bioinform. (2013)
Keyphrases
- high dimensional
- class imbalanced data
- feature selection
- training data
- small sample
- low dimensional
- svm classifier
- similarity search
- support vector
- supervised classification
- ensemble learning
- machine learning algorithms
- feature set
- test set
- dimensionality reduction
- high dimensionality
- noisy data
- variable selection
- training set
- sparse data
- feature space
- image classification
- decision trees
- machine learning