RSDA: sym.dist.interval – R documentation

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sym.dist.interval

Distance for Symbolic Interval Variables.

Description

This function computes and returns the distance matrix by using the specified distance measure to compute distance between symbolic interval variables.

Usage

sym.dist.interval(
  sym.data,
  gamma = 0.5,
  method = "Minkowski",
  normalize = TRUE,
  SpanNormalize = FALSE,
  q = 1,
  euclidea = TRUE,
  pond = rep(1, length(variables))
)

Arguments

`sym.data`	A symbolic object
`gamma`	gamma value for the methods ichino and minkowski.
`method`	Method to use (Gowda.Diday, Ichino, Minkowski, Hausdorff)
`normalize`	A logical value indicating whether normalize the data in the ichino or hausdorff method.
`SpanNormalize`	A logical value indicating whether
`q`	q value for the hausdorff method.
`euclidea`	A logical value indicating whether use the euclidean distance.
`pond`	A numeric vector
`variables`	Numeric vector with the number of the variables to use.

Value

An object of class 'dist'

RSDA

R to Symbolic Data Analysis

v3.0.12

GPL (>= 2)

Authors

Oldemar Rodriguez [aut, cre], Jose Emmanuel Chacon [cph], Carlos Aguero [cph], Jorge Arce [cph]

Initial release

2022-07-04