All data mining practice with Matlab
- SVM: Support vector machine
- LSSVM: Least squares support vector machine
- PSVM: Proximal support vector machine
- TWSVM: Twin support vector machine
- LS-TWSVM: Least squares twin support vector machine
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$\nu$ -TWSVM:$\nu$ -Twin support vector machine
- RMTL: Regularized multi-task learning
- MTLS-SVM: Multi-task least squares support vector machine
- MTPSVM: Multi-tasl proximal support vector machine
- MT-aLS-SVM: Multi-task asymmetric least squares support vector machine
- DMTSVM: Multi-task twin support vector machine
- MTCTSVM: Multi-task centroid twin support vector machine
- MTLS-TWSVM: Multi-task least squares twin support vector machine
- Neighbors Property Pattern Selection (NPPS)
- Neighbour Distribution Pattern (NDP)
- Fixed Neighborhood Sphere Sample Selection (FNSSS)
- Distance-based Sample Selection Method (DSSM)
- Knn-based Sample Selection Method(KSSM)
- Border-Edge Pattern Selection (BEPS)
- Concept Boundary Detection (CBD)
- Multi-Class Instance Selection (MCIS)