SF.asFeatureSubset: Converting custom attribute name sets into a FeatureSubset...

In RoughSets: Data Analysis Using Rough Set and Fuzzy Rough Set Theories

Description

The function can be used to change a custom set of attribute names from a decision table into an object of the FeatureSubset class. It can be useful for converting results of discernibility matrix-based attribute selection methods (i.e. functions FS.all.reducts.computation and FS.one.reduct.computation).

Usage

SF.asFeatureSubset(colNames, decisionTable, type.method = "custom subset",
  model = "custom")

Arguments

colNames	a character vector containing names of attributes from a decision table
decisionTable	a decision table which contains attributes from colNames
type.method	an indicator of the method used for selecting the attributes
model	an indicator of the model used for selecting the attributes

Value

an object of a class FeatureSubset ############################################################# ## Example 1: ############################################################# data(RoughSetData) wine.data <- RoughSetData$wine.dt

## discretization and generation of a reduct cut.values <- D.discretization.RST(wine.data, type.method = "unsupervised.quantiles", nOfIntervals = 3) decision.table <- SF.applyDecTable(wine.data, cut.values) disc.matrix <- BC.discernibility.mat.RST(wine.data) reduct <- FS.one.reduct.computation(disc.matrix, greedy=TRUE) class(reduct) is(reduct$decision.reduct[[1]])

## convertion into a FeatureSubset object reduct <- SF.asFeatureSubset(reduct$decision.reduct[[1]], decision.table, type.method = "greedy reduct from a discernibility matrix", model = reduct$type.model) class(reduct)

Author(s)

Andrzej Janusz

RoughSets documentation built on May 29, 2017, 7:06 p.m.