| alphasvm | Support Vector Machines taking initial alpha values |
| alphasvm.default | Support Vector Machines taking initial alpha values |
| alphasvm.formula | Support Vector Machines taking initial alpha values |
| cluster.fun.kkmeans | Wrapper function for kernal kmeans |
| cluster.fun.mlpack.old | Kmeans Clustering from RcppMLPACK |
| cluster.predict.kkmeans | Predict function for kernel kmeans |
| clusterSVM | Clustered Support Vector Machine |
| csvmTransform | Data Transformation function for Clustered Support Vector Machine |
| dcSVM | Divide-and-Conquer kernel SVM (DC-SVM) |
| eucliDist | Euclidean Distance calculation |
| gater | Gater function for mixture SVMs |
| gaterSVM | Mixture SVMs with gater function |
| kmeans.predict | Euclidean Distance based clustering prediction |
| plot.alphasvm | Plot alphasvm object |
| predict.alphasvm | Prediction function for an alphasvm object |
| predict.clusterSVM | Predictions with Clustered Support Vector Machines |
| predict.dcSVM | Predictions with Divide-Conquer Support Vector Machines |
| predict.gater | Predictions for Gater function |
| predict.gaterSVM | Prediction for Gater SVM |
| print.alphasvm | Support Vector Machines taking initial alpha values |
| print.summary.alphasvm | Support Vector Machines taking initial alpha values |
| summary.alphasvm | Support Vector Machines taking initial alpha values |
| svmguide1 | svmguide1 |
| SwarmSVM | SwarmSVM: A Package for several Ensemble Support Vector Machine Models |
| write.alphasvm | Write alphasvm object |