Distance Metric Learning with Prototype Selection for Imbalanced Classification.
Juan-Luis SuárezSalvador GarcíaFrancisco HerreraPublished in: HAIS (2021)
Keyphrases
- prototype selection
- distance metric learning
- nearest neighbor classification
- nearest neighbor classifier
- metric learning
- distance metric
- selection algorithm
- image classification
- nearest neighbor
- pattern recognition
- feature selection
- classification accuracy
- machine learning
- feature extraction
- gender classification
- high dimensional
- distance measure
- locally adaptive
- training set
- decision trees
- nonlinear dimensionality reduction
- preprocessing
- semidefinite programming
- svm classifier
- class labels
- distance function
- training samples
- supervised learning