% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data.R
\docType{data}
\name{horses.int}
\alias{horses.int}
\title{Horse Breeds Interval Dataset}
\format{
A symbolic data frame (\code{symbolic_tbl}) with 8 observations and 7 variables:
\itemize{
    \item \code{Breed}: Horse breed code (CES, CMA, PEN, TES, CEN, LES, PES, PAM; character).
    \item \code{Minimum_Weight}: Minimum weight range (kg, interval).
    \item \code{Maximum_Weight}: Maximum weight range (kg, interval).
    \item \code{Minimum_Height}: Minimum height range (cm, interval).
    \item \code{Maximum_Height}: Maximum height range (cm, interval).
    \item \code{Mares_Cost}: Cost of mares range (currency units, interval).
    \item \code{Fillies_Cost}: Cost of fillies range (currency units, interval).
}
}
\usage{
data(horses.int)
}
\description{
Interval-valued data for 8 horse breeds (CES, CMA, PEN, TES, CEN,
LES, PES, PAM) described by 6 variables: minimum/maximum weight,
minimum/maximum height, cost of mares, cost of fillies.
}
\details{
Extensively used in SDA for demonstrating divisive clustering, distance
computation, hierarchy/pyramid construction, and complete objects.
}
\section{Metadata}{

\tabular{ll}{
  \strong{Sample size (n)} \tab 8 \cr
  \strong{Variables (p)} \tab 7 \cr
  \strong{Subject area} \tab Zoology \cr
  \strong{Symbolic format} \tab Interval \cr
  \strong{Analytical tasks} \tab Clustering
}
}

\examples{
data(horses.int)
}
\references{
Billard, L. and Diday, E. (2006). \emph{Symbolic Data Analysis}. Wiley. Table 7.14.
}
\keyword{clustering}
\keyword{datasets}
\keyword{interval}
