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SwarmSVM (version 0.1-2)
Ensemble Learning Algorithms Based on Support Vector Machines
Description
Three ensemble learning algorithms based on support vector machines. They all train support vector machines on subset of data and combine the result.
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Install
install.packages('SwarmSVM')
Monthly Downloads
100
Version
0.1-2
License
GPL-2
Maintainer
Tong He
Last Published
August 19th, 2016
Functions in SwarmSVM (0.1-2)
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cluster.fun.mlpack.old
Kmeans Clustering from RcppMLPACK
dcSVM
Divide-and-Conquer kernel SVM (DC-SVM)
gater
Gater function for mixture SVMs
cluster.fun.kkmeans
Wrapper function for kernal kmeans
eucliDist
Euclidean Distance calculation
alphasvm
Support Vector Machines taking initial alpha values
clusterSVM
Clustered Support Vector Machine
cluster.predict.kkmeans
Predict function for kernel kmeans
csvmTransform
Data Transformation function for Clustered Support Vector Machine
gaterSVM
Mixture SVMs with gater function
predict.alphasvm
Prediction function for an alphasvm object
SwarmSVM
SwarmSVM: A Package for several Ensemble Support Vector Machine Models
predict.clusterSVM
Predictions with Clustered Support Vector Machines
predict.dcSVM
Predictions with Divide-Conquer Support Vector Machines
predict.gater
Predictions for Gater function
write.alphasvm
Write alphasvm object
kmeans.predict
Euclidean Distance based clustering prediction
predict.gaterSVM
Prediction for Gater SVM
svmguide1
svmguide1
plot.alphasvm
Plot alphasvm object