Density peak-based pre-clustering support vector machine for multi-class imbalanced classification

Keyphrases

• Imbalanced Classification 100%
• Density Peaks 100%
• Clustering Support Vector Machine 100%
• Pre-clustering 100%
• Support Vector Machine 83%
• One-vs-One 66%
• Multi-class Classification 50%
• Binary Classification 33%
• Multiple Classes 33%
• Machine Learning 16%
• Undersampling 16%
• Area under the Curve 16%
• Euclidean Distance 16%
• EasyEnsemble 16%
• Classification Performance 16%
• K-means 16%
• Number of Clusters 16%
• Clustering Methods 16%
• Public Dataset 16%
• In Clustering 16%
• F-measure 16%
• G-mean 16%
• Density Peaks Clustering 16%
• Imbalanced Data 16%
• Synthetic Minority Oversampling Technique (SMOTE) 16%

Computer Science

• Support Vector Machine 100%
• Multiclass Classification 50%
• Multi Class Classification 33%
• Binary Classification 33%
• Classification Problem 16%
• Classification Task 16%
• Machine Learning 16%
• Euclidean Distance 16%
• Classification Performance 16%
• Clustering Method 16%