rm(list = ls())
library(rDatasets)
library(mlbench)
datasetPath <- file.path("dataParsing", "syntheticDatasets", "gaussian")
mlBenchgaussian <- mlbench.2dnormals(1000)
plot(mlBenchgaussian)
gaussianData <- as.data.frame(mlBenchgaussian)
gaussianData <- data.frame(gaussianData[,1:2],
sapply(1:8, function(i) runif(1000)),
gaussianData[,3])
colnames(gaussianData) <- c(paste("F", 1:10, sep = ""), "class")
gaussian_ <- buildDataAbstraction(
name = "Gaussian",
data = gaussianData[, -11],
labels = gaussianData[, 11])
save(gaussian_,
file = file.path(
datasetPath, "gaussian_.RData"))
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