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swh:1:snp:0f920b1e114986636ba2e45b5c1a83473fb6cf12
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Tip revision: 12acd76ec1d613505e4bb20b3012e8d8507a310a authored by Lars Kotthoff on 16 May 2018, 20:38:09 UTC
version 0.31
Tip revision: 12acd76
cfs.Rd
\name{cfs}
\alias{cfs}
\title{ CFS filter }
\description{
  The algorithm finds attribute subset using correlation and entropy measures for continous and discrete data.
}
\usage{
cfs(formula, data)
}
\arguments{
  \item{formula}{ a symbolic description of a model }
  \item{data}{ data to process }}
\details{
  The alorithm makes use of \code{\link{best.first.search}} for searching the attribute subset space.
}
\seealso{ \code{\link{best.first.search}} }
\value{
a character vector containing chosen attributes
}
\author{ Piotr Romanski }
\examples{
  data(iris)
  
  subset <- cfs(Species~., iris)
  f <- as.simple.formula(subset, "Species")
  print(f)
}
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