SwarmSVM v0.1-2

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Ensemble Learning Algorithms Based on Support Vector Machines

Three ensemble learning algorithms based on support vector machines. They all train support vector machines on subset of data and combine the result.

Functions in SwarmSVM

Name Description
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
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Details

Date 2016-08-19
License GPL-2
VignetteBuilder knitr
NeedsCompilation yes
Packaged 2016-08-19 08:24:20 UTC; hetong007
Repository CRAN
Date/Publication 2016-08-19 19:37:28

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