cfs: CFS filter

In FSelector: Selecting attributes

Description

The algorithm finds attribute subset using correlation and entropy measures for continous and discrete data.

Usage

cfs(formula, data)

Arguments

formula	a symbolic description of a model
data	data to process

Details

The alorithm makes use of best.first.search for searching the attribute subset space.

Value

a character vector containing chosen attributes

Author(s)

Piotr Romanski

See Also

best.first.search

Examples

  data(iris)
  
  subset <- cfs(Species~., iris)
  f <- as.simple.formula(subset, "Species")
  print(f)

Example output

OpenJDK 64-Bit Server VM warning: Can't detect initial thread stack location - find_vma failed
Species ~ Petal.Length + Petal.Width
<environment: 0x3b5a778>
Warning message:
system call failed: Cannot allocate memory 

FSelector documentation built on May 2, 2019, 4:52 p.m.