stoploss {stops}R Documentation

Calculate the weighted multiobjective loss function used in STOPS

Description

Calculate the weighted multiobjective loss function used in STOPS

Usage

stoploss(obj, stressweight = 1, structures = c("cclusteredness",
  "clinearity", "cdependence", "cmanifoldness", "cassociation",
  "cnonmonotonicity", "cfunctionality", "ccomplexity", "cfaithfulness",
  "cregularity"), strucweight = rep(-1/length(structures),
  length(structures)), strucpars, type = c("additive", "multiplicative"),
  verbose = 0)

Arguments

obj

MDS object (supported are stop_sammon, stop_cmdscale, stop_smacofSym, stop_rstress, stop_powerstress, stop_smacofSphere)

stressweight

weight to be used for the fit measure; defaults to 1

structures

which c-structuredness indices to be included in the loss

strucweight

the weights of the structuredness indices; defaults to -1/#number of structures

strucpars

a list of parameters to be passed to the c-structuredness indices in the same order as the values in structures #(alternatively a named list that has the structure name as the element name)

type

what type of weighted optimization should be used? Can be 'additive' or 'multiplicative'. NOte that for penalizing the mds loss.

verbose

verbose output


[Package stops version 0.0-40 Index]