TANG16 / Data-Mining-2

All data mining practice with Matlab

Data-Mining

All data mining practice with Matlab

Single-task learning

• 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
  • $\nu$-TWSVM: $\nu$-Twin support vector machine

More Kernel methods

Multi-task learning

• 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
  • MT-ν-TWSVM: Multi-task ν-twin support vector machines

Multi-class learning

Clustering

• Density Peaks (DP)
• Comparative Density Peask (CDP)
• AGNES

Sample Selection Method

• 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)