stoploss: Calculate the weighted multiobjective loss function used in...

In stops: Structure Optimized Proximity Scaling

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", "chierarchy", "cconvexity", "cstriatedness", "coutlying",
    "cskinniness", "csparsity", "cstringiness", "cclumpiness", "cinequality"),
  strucweight = rep(-1/length(structures), length(structures)),
  strucpars,
  stoptype = c("additive", "multiplicative"),
  verbose = 0
)

Arguments

obj	object returned inside a stop_* function. Uses the stress.m slot for getting the stress.
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. If the index has no parameters or you want to use the defaults, supply NULL. (alternatively a named list that has the structure name as the element name).
stoptype	what type of weighted combination should be used? Can be 'additive' or 'multiplicative'.
verbose	verbose output

Value

a list with calculated stoploss ($stoploss), structuredness indices ($strucinidices) and hyperparameters ($parameters and $theta)

stops documentation built on Dec. 12, 2023, 3:02 a.m.