Generator of Semi-Artificial Data


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Documentation for package ‘semiArtificial’ version 2.4.1

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semiArtificial-package Generation and evaluation of semi-artificial data
cleanData Rejection of new instances based on their distance to existing instances
dataSimilarity Evaluate statistical similarity of two data sets
dsClustCompare Evaluate clustering similarity of two data sets
indAttrGen A data generator based on forest
newdata Generate semi-artificial data using a generator
newdata.RBFgenerator Generate semi-artificial data using a generator
newdata.TreeEnsemble Generate semi-artificial data using a generator
performanceCompare Evaluate similarity of two data sets based on predictive performance
rbfDataGen A data generator based on RBF network
semiArtificial Generation and evaluation of semi-artificial data
treeEnsemble A data generator based on forest