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 |