MDFS: Build MultiDimensional Feature Selector from IGs

In CuCubes: MultiDimensional Feature Selection (MDFS)

Description

Build MultiDimensional Feature Selector from IGs

Usage

MDFS(IGs, dimensions, divisions, response_divisions = 1, IG_bits = TRUE,
  IG_doubled = FALSE, ignore_lowest = length(IGs)%/%10,
  variable_number = length(IGs), calc_variable_number = TRUE,
  mode_1D = "exp", min_variable_number = variable_number%/%2,
  max_ignore_lowest = variable_number%/%3, max_iterations = 20,
  acceptable_error = 0.05)

Arguments

IGs	max conditional information gains
dimensions	number of dimensions
divisions	number of divisions
response_divisions	number of response divisions (i.e. categories-1)
IG_bits	input is in binary log (as opposed to natural log)
IG_doubled	input is doubled (to follow the chi-squared distribution)
ignore_lowest	number of variables with the lowest IG to ignore (ignored if computed)
variable_number	number of irrelevant variables (ignored if computed)
calc_variable_number	whether to compute the number of neglected and irrelevant variables
mode_1D	"exp" - exponential distribution, "lin" - linear function of chi-squared, "raw" - raw chi-squared
min_variable_number	minimum number of irrelevant variables
max_ignore_lowest	maximum number of ignored variables
max_iterations	maximum number of iterations in variable number calculation
acceptable_error	acceptable error level for distribution parameter

Value

MDFS (list-based S3 class object) with the following named elements: "IGs" is a vector of information gains (input copy) "order" is a vector of ordinal numbers (order of variables by decreasing score) "chi.squared" is a vector of chi-squared p-values "p.values" is a vector of eventual p-values "scores" is a list of two vectors FDR and FWER with FDR and FWER scores respectively "lo.sq.dev." is a vector of square deviations used to calculate the number of ignored variables "hi.sq.dev." is a vector of square deviations used to calculate the number of irrelevant variables "ign.lowest" is a number of ignored variables "var.number" is a number of irrelevant variables "dist.param." is an exponential distribution parameter or linear coefficient "err.param." is a square error of the parameter

CuCubes documentation built on May 30, 2017, 1:36 a.m.