relief: RReliefF filter

Description Usage Arguments Details Value Author(s) References Examples

View source: R/selector.relief.R

Description

The algorithm finds weights of continous and discrete attributes basing on a distance between instances.

Usage

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relief(formula, data, neighbours.count = 5, sample.size = 10)

Arguments

formula

a symbolic description of a model

data

data to process

neighbours.count

number of neighbours to find for every sampled instance

sample.size

number of instances to sample

Details

The algorithm samples instances and finds their nearest hits and misses. Considering that result, it evaluates weights of attributes.

Value

a data.frame containing the worth of attributes in the first column and their names as row names

Author(s)

Piotr Romanski

References

Examples

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  data(iris)
  
  weights <- relief(Species~., iris, neighbours.count = 5, sample.size = 20)
  print(weights)
  subset <- cutoff.k(weights, 2)
  f <- as.simple.formula(subset, "Species")
  print(f)

larskotthoff/fselector documentation built on Feb. 18, 2021, 12:13 a.m.