Ensemble Learning Algorithms Based on Support Vector Machines


[Up] [Top]

Documentation for package ‘SwarmSVM’ version 0.1-7

Help Pages

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