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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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Version

Install

install.packages('SwarmSVM')

Monthly Downloads

Version

0.1-2

License

GPL-2

Maintainer

Tong He

Last Published

August 19th, 2016

Functions in SwarmSVM (0.1-2)

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

plot.alphasvm

Plot alphasvm object